Upload folder using huggingface_hub
Browse files- README.md +40 -0
- checkpoint-3839/config.json +195 -0
- checkpoint-3839/model.safetensors +3 -0
- checkpoint-3839/optimizer.pt +3 -0
- checkpoint-3839/rng_state.pth +3 -0
- checkpoint-3839/scheduler.pt +3 -0
- checkpoint-3839/trainer_state.json +1815 -0
- checkpoint-3839/training_args.bin +3 -0
- config.json +195 -0
- model.safetensors +3 -0
- preprocessor_config.json +36 -0
- runs/May28_16-03-03_r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv/events.out.tfevents.1716912184.r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv.159.0 +2 -2
- runs/May28_16-03-03_r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv/events.out.tfevents.1716912712.r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv.159.1 +3 -0
- training_args.bin +3 -0
- training_params.json +29 -0
README.md
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- autotrain
|
5 |
+
- image-classification
|
6 |
+
widget:
|
7 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
|
8 |
+
example_title: Tiger
|
9 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
|
10 |
+
example_title: Teapot
|
11 |
+
- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
|
12 |
+
example_title: Palace
|
13 |
+
---
|
14 |
+
|
15 |
+
# Model Trained Using AutoTrain
|
16 |
+
|
17 |
+
- Problem type: Image Classification
|
18 |
+
|
19 |
+
## Validation Metrics
|
20 |
+
loss: 0.011031342670321465
|
21 |
+
|
22 |
+
f1_macro: 1.0
|
23 |
+
|
24 |
+
f1_micro: 1.0
|
25 |
+
|
26 |
+
f1_weighted: 1.0
|
27 |
+
|
28 |
+
precision_macro: 1.0
|
29 |
+
|
30 |
+
precision_micro: 1.0
|
31 |
+
|
32 |
+
precision_weighted: 1.0
|
33 |
+
|
34 |
+
recall_macro: 1.0
|
35 |
+
|
36 |
+
recall_micro: 1.0
|
37 |
+
|
38 |
+
recall_weighted: 1.0
|
39 |
+
|
40 |
+
accuracy: 1.0
|
checkpoint-3839/config.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
3 |
+
"_num_labels": 83,
|
4 |
+
"architectures": [
|
5 |
+
"ViTForImageClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"encoder_stride": 16,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "Agnes Skinner",
|
14 |
+
"1": "Alec Baldwin",
|
15 |
+
"2": "Alex Whitney",
|
16 |
+
"3": "Allison Taylor",
|
17 |
+
"4": "Apu Nahasapeemapetilon",
|
18 |
+
"5": "Artie Ziff",
|
19 |
+
"6": "Ashley Grant",
|
20 |
+
"7": "Ballet Teacher",
|
21 |
+
"8": "Barney Gumble",
|
22 |
+
"9": "Bart Simpson",
|
23 |
+
"10": "Bernice Hibbert",
|
24 |
+
"11": "Carl Carlson",
|
25 |
+
"12": "Chief Wiggum",
|
26 |
+
"13": "Cletus Spuckler",
|
27 |
+
"14": "Comic Book Guy",
|
28 |
+
"15": "Dewey Largo",
|
29 |
+
"16": "Doctor Hibbert",
|
30 |
+
"17": "Doctor Nick",
|
31 |
+
"18": "Dolph Starbeam",
|
32 |
+
"19": "Drederick Tatum",
|
33 |
+
"20": "Edna Krabappel",
|
34 |
+
"21": "Fat Tony",
|
35 |
+
"22": "Focus Group Manager",
|
36 |
+
"23": "Gil Gunderson",
|
37 |
+
"24": "Grandpa Simpson",
|
38 |
+
"25": "Groundskeeper Willie",
|
39 |
+
"26": "Hank Scorpio",
|
40 |
+
"27": "Hans Moleman",
|
41 |
+
"28": "Helen Lovejoy",
|
42 |
+
"29": "Homer Simpson",
|
43 |
+
"30": "Jailbird Snake",
|
44 |
+
"31": "Janey Powell",
|
45 |
+
"32": "Jasper Beardsley",
|
46 |
+
"33": "Jessica Lovejoy",
|
47 |
+
"34": "Jimbo Jones",
|
48 |
+
"35": "Kearney Zzyzwicz",
|
49 |
+
"36": "Kent Brockman",
|
50 |
+
"37": "Kim Basinger",
|
51 |
+
"38": "Kirk Van Houten",
|
52 |
+
"39": "Krusty the Clown",
|
53 |
+
"40": "Larry Burns",
|
54 |
+
"41": "Laura Powers",
|
55 |
+
"42": "Lenny Leonard",
|
56 |
+
"43": "Lewis Clark",
|
57 |
+
"44": "Lindsey Naegle",
|
58 |
+
"45": "Lionel Hutz",
|
59 |
+
"46": "Lisa Simpson",
|
60 |
+
"47": "Luann Van Houten",
|
61 |
+
"48": "Maggie Simpson",
|
62 |
+
"49": "Manjula Nahasapeemapetilon",
|
63 |
+
"50": "Marge Simpson",
|
64 |
+
"51": "Martin Prince",
|
65 |
+
"52": "Maude Flanders",
|
66 |
+
"53": "Mayor Quimby",
|
67 |
+
"54": "Milhouse Van Houten",
|
68 |
+
"55": "Mindy Simmons",
|
69 |
+
"56": "Miss Hoover",
|
70 |
+
"57": "Moe Szyslak",
|
71 |
+
"58": "Mr Burns",
|
72 |
+
"59": "Ned Flanders",
|
73 |
+
"60": "Nelson Muntz",
|
74 |
+
"61": "Nerd Database",
|
75 |
+
"62": "Officer Eddie",
|
76 |
+
"63": "Officer Lou",
|
77 |
+
"64": "Otto Mann",
|
78 |
+
"65": "Patty Bouvier",
|
79 |
+
"66": "Principal Skinner",
|
80 |
+
"67": "Professor Frink",
|
81 |
+
"68": "Rainier Wolfcastle",
|
82 |
+
"69": "Ralph Wiggum",
|
83 |
+
"70": "Reverend Lovejoy",
|
84 |
+
"71": "Rod Flanders",
|
85 |
+
"72": "Ruth Powers",
|
86 |
+
"73": "Sea Captian",
|
87 |
+
"74": "Selma Bouvier",
|
88 |
+
"75": "Sherri and Terri",
|
89 |
+
"76": "Sideshow Bob",
|
90 |
+
"77": "Sideshow Mel",
|
91 |
+
"78": "Superintendent Chalmers",
|
92 |
+
"79": "Todd Flanders",
|
93 |
+
"80": "Troy McClure",
|
94 |
+
"81": "Waylon Smithers",
|
95 |
+
"82": "Wendell Borton"
|
96 |
+
},
|
97 |
+
"image_size": 224,
|
98 |
+
"initializer_range": 0.02,
|
99 |
+
"intermediate_size": 3072,
|
100 |
+
"label2id": {
|
101 |
+
"Agnes Skinner": 0,
|
102 |
+
"Alec Baldwin": 1,
|
103 |
+
"Alex Whitney": 2,
|
104 |
+
"Allison Taylor": 3,
|
105 |
+
"Apu Nahasapeemapetilon": 4,
|
106 |
+
"Artie Ziff": 5,
|
107 |
+
"Ashley Grant": 6,
|
108 |
+
"Ballet Teacher": 7,
|
109 |
+
"Barney Gumble": 8,
|
110 |
+
"Bart Simpson": 9,
|
111 |
+
"Bernice Hibbert": 10,
|
112 |
+
"Carl Carlson": 11,
|
113 |
+
"Chief Wiggum": 12,
|
114 |
+
"Cletus Spuckler": 13,
|
115 |
+
"Comic Book Guy": 14,
|
116 |
+
"Dewey Largo": 15,
|
117 |
+
"Doctor Hibbert": 16,
|
118 |
+
"Doctor Nick": 17,
|
119 |
+
"Dolph Starbeam": 18,
|
120 |
+
"Drederick Tatum": 19,
|
121 |
+
"Edna Krabappel": 20,
|
122 |
+
"Fat Tony": 21,
|
123 |
+
"Focus Group Manager": 22,
|
124 |
+
"Gil Gunderson": 23,
|
125 |
+
"Grandpa Simpson": 24,
|
126 |
+
"Groundskeeper Willie": 25,
|
127 |
+
"Hank Scorpio": 26,
|
128 |
+
"Hans Moleman": 27,
|
129 |
+
"Helen Lovejoy": 28,
|
130 |
+
"Homer Simpson": 29,
|
131 |
+
"Jailbird Snake": 30,
|
132 |
+
"Janey Powell": 31,
|
133 |
+
"Jasper Beardsley": 32,
|
134 |
+
"Jessica Lovejoy": 33,
|
135 |
+
"Jimbo Jones": 34,
|
136 |
+
"Kearney Zzyzwicz": 35,
|
137 |
+
"Kent Brockman": 36,
|
138 |
+
"Kim Basinger": 37,
|
139 |
+
"Kirk Van Houten": 38,
|
140 |
+
"Krusty the Clown": 39,
|
141 |
+
"Larry Burns": 40,
|
142 |
+
"Laura Powers": 41,
|
143 |
+
"Lenny Leonard": 42,
|
144 |
+
"Lewis Clark": 43,
|
145 |
+
"Lindsey Naegle": 44,
|
146 |
+
"Lionel Hutz": 45,
|
147 |
+
"Lisa Simpson": 46,
|
148 |
+
"Luann Van Houten": 47,
|
149 |
+
"Maggie Simpson": 48,
|
150 |
+
"Manjula Nahasapeemapetilon": 49,
|
151 |
+
"Marge Simpson": 50,
|
152 |
+
"Martin Prince": 51,
|
153 |
+
"Maude Flanders": 52,
|
154 |
+
"Mayor Quimby": 53,
|
155 |
+
"Milhouse Van Houten": 54,
|
156 |
+
"Mindy Simmons": 55,
|
157 |
+
"Miss Hoover": 56,
|
158 |
+
"Moe Szyslak": 57,
|
159 |
+
"Mr Burns": 58,
|
160 |
+
"Ned Flanders": 59,
|
161 |
+
"Nelson Muntz": 60,
|
162 |
+
"Nerd Database": 61,
|
163 |
+
"Officer Eddie": 62,
|
164 |
+
"Officer Lou": 63,
|
165 |
+
"Otto Mann": 64,
|
166 |
+
"Patty Bouvier": 65,
|
167 |
+
"Principal Skinner": 66,
|
168 |
+
"Professor Frink": 67,
|
169 |
+
"Rainier Wolfcastle": 68,
|
170 |
+
"Ralph Wiggum": 69,
|
171 |
+
"Reverend Lovejoy": 70,
|
172 |
+
"Rod Flanders": 71,
|
173 |
+
"Ruth Powers": 72,
|
174 |
+
"Sea Captian": 73,
|
175 |
+
"Selma Bouvier": 74,
|
176 |
+
"Sherri and Terri": 75,
|
177 |
+
"Sideshow Bob": 76,
|
178 |
+
"Sideshow Mel": 77,
|
179 |
+
"Superintendent Chalmers": 78,
|
180 |
+
"Todd Flanders": 79,
|
181 |
+
"Troy McClure": 80,
|
182 |
+
"Waylon Smithers": 81,
|
183 |
+
"Wendell Borton": 82
|
184 |
+
},
|
185 |
+
"layer_norm_eps": 1e-12,
|
186 |
+
"model_type": "vit",
|
187 |
+
"num_attention_heads": 12,
|
188 |
+
"num_channels": 3,
|
189 |
+
"num_hidden_layers": 12,
|
190 |
+
"patch_size": 16,
|
191 |
+
"problem_type": "single_label_classification",
|
192 |
+
"qkv_bias": true,
|
193 |
+
"torch_dtype": "float32",
|
194 |
+
"transformers_version": "4.41.0"
|
195 |
+
}
|
checkpoint-3839/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68313e8f772280708ca9f54261e838fd8237b2d20f4e82079e5e2b5ef3bed02f
|
3 |
+
size 343473140
|
checkpoint-3839/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:49b8fc20b1a72518867203aa4091f6c177b5640f0431dee6b4cee5b1ef29ab81
|
3 |
+
size 687067194
|
checkpoint-3839/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2fc193a0b071cb0915cab365ef1cb8841cc170039089bd91190ace1109fefa81
|
3 |
+
size 14244
|
checkpoint-3839/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1c5d4e93e348960ed9632357a4ff4796cdb428f23dbfb440b56d7dd2826a72ee
|
3 |
+
size 1064
|
checkpoint-3839/trainer_state.json
ADDED
@@ -0,0 +1,1815 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.011031342670321465,
|
3 |
+
"best_model_checkpoint": "autotrain-mb2mv-qdf75/checkpoint-3839",
|
4 |
+
"epoch": 11.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 3839,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.04871060171919771,
|
13 |
+
"grad_norm": 12.027495384216309,
|
14 |
+
"learning_rate": 2.028639618138425e-06,
|
15 |
+
"loss": 4.4947,
|
16 |
+
"step": 17
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.09742120343839542,
|
20 |
+
"grad_norm": 11.511441230773926,
|
21 |
+
"learning_rate": 4.05727923627685e-06,
|
22 |
+
"loss": 4.4912,
|
23 |
+
"step": 34
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.14613180515759314,
|
27 |
+
"grad_norm": 12.500868797302246,
|
28 |
+
"learning_rate": 5.966587112171838e-06,
|
29 |
+
"loss": 4.4842,
|
30 |
+
"step": 51
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.19484240687679083,
|
34 |
+
"grad_norm": 11.219860076904297,
|
35 |
+
"learning_rate": 7.995226730310263e-06,
|
36 |
+
"loss": 4.4186,
|
37 |
+
"step": 68
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.24355300859598855,
|
41 |
+
"grad_norm": 11.510499000549316,
|
42 |
+
"learning_rate": 1.0023866348448688e-05,
|
43 |
+
"loss": 4.5182,
|
44 |
+
"step": 85
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.2922636103151863,
|
48 |
+
"grad_norm": 12.528426170349121,
|
49 |
+
"learning_rate": 1.2052505966587113e-05,
|
50 |
+
"loss": 4.4535,
|
51 |
+
"step": 102
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.34097421203438394,
|
55 |
+
"grad_norm": 11.191871643066406,
|
56 |
+
"learning_rate": 1.4081145584725539e-05,
|
57 |
+
"loss": 4.4233,
|
58 |
+
"step": 119
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.38968481375358166,
|
62 |
+
"grad_norm": 13.019774436950684,
|
63 |
+
"learning_rate": 1.6109785202863962e-05,
|
64 |
+
"loss": 4.3845,
|
65 |
+
"step": 136
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.4383954154727794,
|
69 |
+
"grad_norm": 11.506011962890625,
|
70 |
+
"learning_rate": 1.8138424821002386e-05,
|
71 |
+
"loss": 4.3334,
|
72 |
+
"step": 153
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.4871060171919771,
|
76 |
+
"grad_norm": 11.238750457763672,
|
77 |
+
"learning_rate": 2.0167064439140813e-05,
|
78 |
+
"loss": 4.2554,
|
79 |
+
"step": 170
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.5358166189111748,
|
83 |
+
"grad_norm": 11.771519660949707,
|
84 |
+
"learning_rate": 2.2195704057279237e-05,
|
85 |
+
"loss": 4.2028,
|
86 |
+
"step": 187
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.5845272206303725,
|
90 |
+
"grad_norm": 12.988870620727539,
|
91 |
+
"learning_rate": 2.4224343675417664e-05,
|
92 |
+
"loss": 4.0815,
|
93 |
+
"step": 204
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.6332378223495702,
|
97 |
+
"grad_norm": 12.157154083251953,
|
98 |
+
"learning_rate": 2.6252983293556088e-05,
|
99 |
+
"loss": 4.1055,
|
100 |
+
"step": 221
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.6819484240687679,
|
104 |
+
"grad_norm": 12.214086532592773,
|
105 |
+
"learning_rate": 2.828162291169451e-05,
|
106 |
+
"loss": 3.9383,
|
107 |
+
"step": 238
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.7306590257879656,
|
111 |
+
"grad_norm": 11.511253356933594,
|
112 |
+
"learning_rate": 3.031026252983294e-05,
|
113 |
+
"loss": 3.9894,
|
114 |
+
"step": 255
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.7793696275071633,
|
118 |
+
"grad_norm": 13.291036605834961,
|
119 |
+
"learning_rate": 3.233890214797136e-05,
|
120 |
+
"loss": 3.7944,
|
121 |
+
"step": 272
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.828080229226361,
|
125 |
+
"grad_norm": 13.204787254333496,
|
126 |
+
"learning_rate": 3.424821002386635e-05,
|
127 |
+
"loss": 3.7806,
|
128 |
+
"step": 289
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.8767908309455588,
|
132 |
+
"grad_norm": 13.473506927490234,
|
133 |
+
"learning_rate": 3.627684964200477e-05,
|
134 |
+
"loss": 3.6716,
|
135 |
+
"step": 306
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.9255014326647565,
|
139 |
+
"grad_norm": 12.780734062194824,
|
140 |
+
"learning_rate": 3.83054892601432e-05,
|
141 |
+
"loss": 3.4641,
|
142 |
+
"step": 323
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.9742120343839542,
|
146 |
+
"grad_norm": 20.36208724975586,
|
147 |
+
"learning_rate": 4.0334128878281626e-05,
|
148 |
+
"loss": 3.3018,
|
149 |
+
"step": 340
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 1.0,
|
153 |
+
"eval_accuracy": 0.43902439024390244,
|
154 |
+
"eval_f1_macro": 0.3762682151157721,
|
155 |
+
"eval_f1_micro": 0.43902439024390244,
|
156 |
+
"eval_f1_weighted": 0.38500671624754507,
|
157 |
+
"eval_loss": 2.9648730754852295,
|
158 |
+
"eval_precision_macro": 0.5231114557498497,
|
159 |
+
"eval_precision_micro": 0.43902439024390244,
|
160 |
+
"eval_precision_weighted": 0.5343145132587477,
|
161 |
+
"eval_recall_macro": 0.41928580121351205,
|
162 |
+
"eval_recall_micro": 0.43902439024390244,
|
163 |
+
"eval_recall_weighted": 0.43902439024390244,
|
164 |
+
"eval_runtime": 3.4206,
|
165 |
+
"eval_samples_per_second": 203.767,
|
166 |
+
"eval_steps_per_second": 12.863,
|
167 |
+
"step": 349
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 1.0229226361031518,
|
171 |
+
"grad_norm": 11.021674156188965,
|
172 |
+
"learning_rate": 4.236276849642005e-05,
|
173 |
+
"loss": 3.1839,
|
174 |
+
"step": 357
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 1.0716332378223496,
|
178 |
+
"grad_norm": 12.111454963684082,
|
179 |
+
"learning_rate": 4.4391408114558474e-05,
|
180 |
+
"loss": 3.0222,
|
181 |
+
"step": 374
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 1.1203438395415473,
|
185 |
+
"grad_norm": 12.602492332458496,
|
186 |
+
"learning_rate": 4.64200477326969e-05,
|
187 |
+
"loss": 2.8135,
|
188 |
+
"step": 391
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.1690544412607449,
|
192 |
+
"grad_norm": 11.924349784851074,
|
193 |
+
"learning_rate": 4.844868735083533e-05,
|
194 |
+
"loss": 2.6733,
|
195 |
+
"step": 408
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 1.2177650429799427,
|
199 |
+
"grad_norm": 11.714224815368652,
|
200 |
+
"learning_rate": 4.9946935526664904e-05,
|
201 |
+
"loss": 2.4497,
|
202 |
+
"step": 425
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 1.2664756446991405,
|
206 |
+
"grad_norm": 13.355523109436035,
|
207 |
+
"learning_rate": 4.972141151499072e-05,
|
208 |
+
"loss": 2.3633,
|
209 |
+
"step": 442
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 1.3151862464183381,
|
213 |
+
"grad_norm": 11.773361206054688,
|
214 |
+
"learning_rate": 4.949588750331653e-05,
|
215 |
+
"loss": 2.2063,
|
216 |
+
"step": 459
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 1.3638968481375358,
|
220 |
+
"grad_norm": 12.601265907287598,
|
221 |
+
"learning_rate": 4.9270363491642345e-05,
|
222 |
+
"loss": 2.2622,
|
223 |
+
"step": 476
|
224 |
+
},
|
225 |
+
{
|
226 |
+
"epoch": 1.4126074498567336,
|
227 |
+
"grad_norm": 11.489968299865723,
|
228 |
+
"learning_rate": 4.9044839479968165e-05,
|
229 |
+
"loss": 2.0349,
|
230 |
+
"step": 493
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.4613180515759312,
|
234 |
+
"grad_norm": 11.553853034973145,
|
235 |
+
"learning_rate": 4.881931546829398e-05,
|
236 |
+
"loss": 1.8452,
|
237 |
+
"step": 510
|
238 |
+
},
|
239 |
+
{
|
240 |
+
"epoch": 1.5100286532951288,
|
241 |
+
"grad_norm": 13.461709976196289,
|
242 |
+
"learning_rate": 4.85937914566198e-05,
|
243 |
+
"loss": 1.7711,
|
244 |
+
"step": 527
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 1.5587392550143266,
|
248 |
+
"grad_norm": 11.289037704467773,
|
249 |
+
"learning_rate": 4.8368267444945606e-05,
|
250 |
+
"loss": 1.562,
|
251 |
+
"step": 544
|
252 |
+
},
|
253 |
+
{
|
254 |
+
"epoch": 1.6074498567335245,
|
255 |
+
"grad_norm": 9.85034465789795,
|
256 |
+
"learning_rate": 4.814274343327143e-05,
|
257 |
+
"loss": 1.4258,
|
258 |
+
"step": 561
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 1.656160458452722,
|
262 |
+
"grad_norm": 8.626704216003418,
|
263 |
+
"learning_rate": 4.791721942159724e-05,
|
264 |
+
"loss": 1.2561,
|
265 |
+
"step": 578
|
266 |
+
},
|
267 |
+
{
|
268 |
+
"epoch": 1.7048710601719197,
|
269 |
+
"grad_norm": 8.728435516357422,
|
270 |
+
"learning_rate": 4.769169540992306e-05,
|
271 |
+
"loss": 1.229,
|
272 |
+
"step": 595
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 1.7535816618911175,
|
276 |
+
"grad_norm": 11.541463851928711,
|
277 |
+
"learning_rate": 4.7466171398248875e-05,
|
278 |
+
"loss": 1.175,
|
279 |
+
"step": 612
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 1.8022922636103151,
|
283 |
+
"grad_norm": 11.69316291809082,
|
284 |
+
"learning_rate": 4.724064738657469e-05,
|
285 |
+
"loss": 1.2961,
|
286 |
+
"step": 629
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 1.8510028653295127,
|
290 |
+
"grad_norm": 7.8675737380981445,
|
291 |
+
"learning_rate": 4.70151233749005e-05,
|
292 |
+
"loss": 0.9699,
|
293 |
+
"step": 646
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.8997134670487106,
|
297 |
+
"grad_norm": 7.240268230438232,
|
298 |
+
"learning_rate": 4.678959936322632e-05,
|
299 |
+
"loss": 1.235,
|
300 |
+
"step": 663
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 1.9484240687679084,
|
304 |
+
"grad_norm": 6.3042426109313965,
|
305 |
+
"learning_rate": 4.6564075351552136e-05,
|
306 |
+
"loss": 1.1121,
|
307 |
+
"step": 680
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 1.997134670487106,
|
311 |
+
"grad_norm": 8.941567420959473,
|
312 |
+
"learning_rate": 4.633855133987796e-05,
|
313 |
+
"loss": 0.9363,
|
314 |
+
"step": 697
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 2.0,
|
318 |
+
"eval_accuracy": 0.945480631276901,
|
319 |
+
"eval_f1_macro": 0.9425017115213628,
|
320 |
+
"eval_f1_micro": 0.945480631276901,
|
321 |
+
"eval_f1_weighted": 0.9445694655877982,
|
322 |
+
"eval_loss": 0.5551677346229553,
|
323 |
+
"eval_precision_macro": 0.9567204214794576,
|
324 |
+
"eval_precision_micro": 0.945480631276901,
|
325 |
+
"eval_precision_weighted": 0.9597403513113699,
|
326 |
+
"eval_recall_macro": 0.94451833307255,
|
327 |
+
"eval_recall_micro": 0.945480631276901,
|
328 |
+
"eval_recall_weighted": 0.945480631276901,
|
329 |
+
"eval_runtime": 3.3936,
|
330 |
+
"eval_samples_per_second": 205.389,
|
331 |
+
"eval_steps_per_second": 12.966,
|
332 |
+
"step": 698
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 2.0458452722063036,
|
336 |
+
"grad_norm": 4.50822114944458,
|
337 |
+
"learning_rate": 4.611302732820377e-05,
|
338 |
+
"loss": 1.0456,
|
339 |
+
"step": 714
|
340 |
+
},
|
341 |
+
{
|
342 |
+
"epoch": 2.0945558739255015,
|
343 |
+
"grad_norm": 5.0435686111450195,
|
344 |
+
"learning_rate": 4.5887503316529584e-05,
|
345 |
+
"loss": 0.5131,
|
346 |
+
"step": 731
|
347 |
+
},
|
348 |
+
{
|
349 |
+
"epoch": 2.1432664756446993,
|
350 |
+
"grad_norm": 5.728665351867676,
|
351 |
+
"learning_rate": 4.5661979304855405e-05,
|
352 |
+
"loss": 0.705,
|
353 |
+
"step": 748
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 2.1919770773638967,
|
357 |
+
"grad_norm": 4.446041584014893,
|
358 |
+
"learning_rate": 4.543645529318122e-05,
|
359 |
+
"loss": 0.6504,
|
360 |
+
"step": 765
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 2.2406876790830945,
|
364 |
+
"grad_norm": 5.601328372955322,
|
365 |
+
"learning_rate": 4.521093128150703e-05,
|
366 |
+
"loss": 0.6361,
|
367 |
+
"step": 782
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 2.2893982808022924,
|
371 |
+
"grad_norm": 6.830723285675049,
|
372 |
+
"learning_rate": 4.4985407269832846e-05,
|
373 |
+
"loss": 0.7554,
|
374 |
+
"step": 799
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 2.3381088825214897,
|
378 |
+
"grad_norm": 9.851592063903809,
|
379 |
+
"learning_rate": 4.4759883258158666e-05,
|
380 |
+
"loss": 0.6952,
|
381 |
+
"step": 816
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 2.3868194842406876,
|
385 |
+
"grad_norm": 12.239367485046387,
|
386 |
+
"learning_rate": 4.453435924648448e-05,
|
387 |
+
"loss": 0.7793,
|
388 |
+
"step": 833
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 2.4355300859598854,
|
392 |
+
"grad_norm": 4.4265360832214355,
|
393 |
+
"learning_rate": 4.43088352348103e-05,
|
394 |
+
"loss": 0.5841,
|
395 |
+
"step": 850
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 2.4842406876790832,
|
399 |
+
"grad_norm": 11.818037986755371,
|
400 |
+
"learning_rate": 4.4083311223136114e-05,
|
401 |
+
"loss": 0.6259,
|
402 |
+
"step": 867
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 2.532951289398281,
|
406 |
+
"grad_norm": 13.520539283752441,
|
407 |
+
"learning_rate": 4.385778721146193e-05,
|
408 |
+
"loss": 0.674,
|
409 |
+
"step": 884
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 2.5816618911174785,
|
413 |
+
"grad_norm": 12.981139183044434,
|
414 |
+
"learning_rate": 4.363226319978774e-05,
|
415 |
+
"loss": 0.7362,
|
416 |
+
"step": 901
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 2.6303724928366763,
|
420 |
+
"grad_norm": 12.412555694580078,
|
421 |
+
"learning_rate": 4.340673918811356e-05,
|
422 |
+
"loss": 0.557,
|
423 |
+
"step": 918
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 2.6790830945558737,
|
427 |
+
"grad_norm": 7.840790748596191,
|
428 |
+
"learning_rate": 4.3181215176439375e-05,
|
429 |
+
"loss": 0.6293,
|
430 |
+
"step": 935
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 2.7277936962750715,
|
434 |
+
"grad_norm": 4.981259822845459,
|
435 |
+
"learning_rate": 4.2955691164765196e-05,
|
436 |
+
"loss": 0.5793,
|
437 |
+
"step": 952
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 2.7765042979942693,
|
441 |
+
"grad_norm": 7.165767669677734,
|
442 |
+
"learning_rate": 4.2730167153091e-05,
|
443 |
+
"loss": 0.5705,
|
444 |
+
"step": 969
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 2.825214899713467,
|
448 |
+
"grad_norm": 6.7298736572265625,
|
449 |
+
"learning_rate": 4.250464314141682e-05,
|
450 |
+
"loss": 0.5446,
|
451 |
+
"step": 986
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 2.873925501432665,
|
455 |
+
"grad_norm": 7.268840789794922,
|
456 |
+
"learning_rate": 4.227911912974264e-05,
|
457 |
+
"loss": 0.4438,
|
458 |
+
"step": 1003
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 2.9226361031518624,
|
462 |
+
"grad_norm": 1.802043080329895,
|
463 |
+
"learning_rate": 4.205359511806846e-05,
|
464 |
+
"loss": 0.4892,
|
465 |
+
"step": 1020
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 2.9713467048710602,
|
469 |
+
"grad_norm": 10.247010231018066,
|
470 |
+
"learning_rate": 4.182807110639427e-05,
|
471 |
+
"loss": 0.4922,
|
472 |
+
"step": 1037
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 3.0,
|
476 |
+
"eval_accuracy": 0.9727403156384505,
|
477 |
+
"eval_f1_macro": 0.9705769072502259,
|
478 |
+
"eval_f1_micro": 0.9727403156384505,
|
479 |
+
"eval_f1_weighted": 0.9719785983620151,
|
480 |
+
"eval_loss": 0.17863501608371735,
|
481 |
+
"eval_precision_macro": 0.9795910916392845,
|
482 |
+
"eval_precision_micro": 0.9727403156384505,
|
483 |
+
"eval_precision_weighted": 0.9787328087184615,
|
484 |
+
"eval_recall_macro": 0.969774335436986,
|
485 |
+
"eval_recall_micro": 0.9727403156384505,
|
486 |
+
"eval_recall_weighted": 0.9727403156384505,
|
487 |
+
"eval_runtime": 3.4979,
|
488 |
+
"eval_samples_per_second": 199.263,
|
489 |
+
"eval_steps_per_second": 12.579,
|
490 |
+
"step": 1047
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 3.020057306590258,
|
494 |
+
"grad_norm": 9.481998443603516,
|
495 |
+
"learning_rate": 4.1602547094720085e-05,
|
496 |
+
"loss": 0.5422,
|
497 |
+
"step": 1054
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 3.0687679083094554,
|
501 |
+
"grad_norm": 9.671106338500977,
|
502 |
+
"learning_rate": 4.13770230830459e-05,
|
503 |
+
"loss": 0.408,
|
504 |
+
"step": 1071
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 3.1174785100286533,
|
508 |
+
"grad_norm": 1.3068506717681885,
|
509 |
+
"learning_rate": 4.115149907137172e-05,
|
510 |
+
"loss": 0.404,
|
511 |
+
"step": 1088
|
512 |
+
},
|
513 |
+
{
|
514 |
+
"epoch": 3.166189111747851,
|
515 |
+
"grad_norm": 8.020153045654297,
|
516 |
+
"learning_rate": 4.092597505969753e-05,
|
517 |
+
"loss": 0.4022,
|
518 |
+
"step": 1105
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 3.2148997134670485,
|
522 |
+
"grad_norm": 9.03290843963623,
|
523 |
+
"learning_rate": 4.070045104802335e-05,
|
524 |
+
"loss": 0.4726,
|
525 |
+
"step": 1122
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 3.2636103151862463,
|
529 |
+
"grad_norm": 8.347646713256836,
|
530 |
+
"learning_rate": 4.047492703634917e-05,
|
531 |
+
"loss": 0.4158,
|
532 |
+
"step": 1139
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 3.312320916905444,
|
536 |
+
"grad_norm": 9.76726245880127,
|
537 |
+
"learning_rate": 4.024940302467498e-05,
|
538 |
+
"loss": 0.3523,
|
539 |
+
"step": 1156
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 3.361031518624642,
|
543 |
+
"grad_norm": 8.464173316955566,
|
544 |
+
"learning_rate": 4.00238790130008e-05,
|
545 |
+
"loss": 0.5155,
|
546 |
+
"step": 1173
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 3.4097421203438394,
|
550 |
+
"grad_norm": 4.331398963928223,
|
551 |
+
"learning_rate": 3.9798355001326615e-05,
|
552 |
+
"loss": 0.395,
|
553 |
+
"step": 1190
|
554 |
+
},
|
555 |
+
{
|
556 |
+
"epoch": 3.458452722063037,
|
557 |
+
"grad_norm": 7.228985786437988,
|
558 |
+
"learning_rate": 3.9572830989652435e-05,
|
559 |
+
"loss": 0.3984,
|
560 |
+
"step": 1207
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 3.507163323782235,
|
564 |
+
"grad_norm": 10.442928314208984,
|
565 |
+
"learning_rate": 3.934730697797824e-05,
|
566 |
+
"loss": 0.4143,
|
567 |
+
"step": 1224
|
568 |
+
},
|
569 |
+
{
|
570 |
+
"epoch": 3.555873925501433,
|
571 |
+
"grad_norm": 8.429516792297363,
|
572 |
+
"learning_rate": 3.912178296630406e-05,
|
573 |
+
"loss": 0.3767,
|
574 |
+
"step": 1241
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 3.6045845272206303,
|
578 |
+
"grad_norm": 12.501051902770996,
|
579 |
+
"learning_rate": 3.8896258954629876e-05,
|
580 |
+
"loss": 0.3507,
|
581 |
+
"step": 1258
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 3.653295128939828,
|
585 |
+
"grad_norm": 7.7675652503967285,
|
586 |
+
"learning_rate": 3.86707349429557e-05,
|
587 |
+
"loss": 0.395,
|
588 |
+
"step": 1275
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 3.702005730659026,
|
592 |
+
"grad_norm": 4.184613227844238,
|
593 |
+
"learning_rate": 3.844521093128151e-05,
|
594 |
+
"loss": 0.2874,
|
595 |
+
"step": 1292
|
596 |
+
},
|
597 |
+
{
|
598 |
+
"epoch": 3.7507163323782233,
|
599 |
+
"grad_norm": 10.189749717712402,
|
600 |
+
"learning_rate": 3.8219686919607324e-05,
|
601 |
+
"loss": 0.3396,
|
602 |
+
"step": 1309
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 3.799426934097421,
|
606 |
+
"grad_norm": 2.022300958633423,
|
607 |
+
"learning_rate": 3.799416290793314e-05,
|
608 |
+
"loss": 0.2436,
|
609 |
+
"step": 1326
|
610 |
+
},
|
611 |
+
{
|
612 |
+
"epoch": 3.848137535816619,
|
613 |
+
"grad_norm": 8.71822452545166,
|
614 |
+
"learning_rate": 3.776863889625896e-05,
|
615 |
+
"loss": 0.3773,
|
616 |
+
"step": 1343
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 3.896848137535817,
|
620 |
+
"grad_norm": 7.879873752593994,
|
621 |
+
"learning_rate": 3.754311488458477e-05,
|
622 |
+
"loss": 0.4686,
|
623 |
+
"step": 1360
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 3.945558739255014,
|
627 |
+
"grad_norm": 1.0487672090530396,
|
628 |
+
"learning_rate": 3.731759087291059e-05,
|
629 |
+
"loss": 0.3921,
|
630 |
+
"step": 1377
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 3.994269340974212,
|
634 |
+
"grad_norm": 8.260384559631348,
|
635 |
+
"learning_rate": 3.70920668612364e-05,
|
636 |
+
"loss": 0.2956,
|
637 |
+
"step": 1394
|
638 |
+
},
|
639 |
+
{
|
640 |
+
"epoch": 4.0,
|
641 |
+
"eval_accuracy": 0.9885222381635581,
|
642 |
+
"eval_f1_macro": 0.9872476382417075,
|
643 |
+
"eval_f1_micro": 0.9885222381635581,
|
644 |
+
"eval_f1_weighted": 0.9882948425801252,
|
645 |
+
"eval_loss": 0.09004738181829453,
|
646 |
+
"eval_precision_macro": 0.9903644882560545,
|
647 |
+
"eval_precision_micro": 0.9885222381635581,
|
648 |
+
"eval_precision_weighted": 0.9902174543135807,
|
649 |
+
"eval_recall_macro": 0.9865557467967108,
|
650 |
+
"eval_recall_micro": 0.9885222381635581,
|
651 |
+
"eval_recall_weighted": 0.9885222381635581,
|
652 |
+
"eval_runtime": 3.3411,
|
653 |
+
"eval_samples_per_second": 208.616,
|
654 |
+
"eval_steps_per_second": 13.169,
|
655 |
+
"step": 1396
|
656 |
+
},
|
657 |
+
{
|
658 |
+
"epoch": 4.042979942693409,
|
659 |
+
"grad_norm": 6.5528106689453125,
|
660 |
+
"learning_rate": 3.686654284956222e-05,
|
661 |
+
"loss": 0.4403,
|
662 |
+
"step": 1411
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 4.091690544412607,
|
666 |
+
"grad_norm": 3.8414504528045654,
|
667 |
+
"learning_rate": 3.6641018837888034e-05,
|
668 |
+
"loss": 0.2637,
|
669 |
+
"step": 1428
|
670 |
+
},
|
671 |
+
{
|
672 |
+
"epoch": 4.140401146131805,
|
673 |
+
"grad_norm": 16.609180450439453,
|
674 |
+
"learning_rate": 3.6415494826213854e-05,
|
675 |
+
"loss": 0.3618,
|
676 |
+
"step": 1445
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 4.189111747851003,
|
680 |
+
"grad_norm": 2.179348945617676,
|
681 |
+
"learning_rate": 3.618997081453967e-05,
|
682 |
+
"loss": 0.4447,
|
683 |
+
"step": 1462
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 4.237822349570201,
|
687 |
+
"grad_norm": 3.5908546447753906,
|
688 |
+
"learning_rate": 3.596444680286548e-05,
|
689 |
+
"loss": 0.2905,
|
690 |
+
"step": 1479
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 4.286532951289399,
|
694 |
+
"grad_norm": 7.550769805908203,
|
695 |
+
"learning_rate": 3.5738922791191295e-05,
|
696 |
+
"loss": 0.2448,
|
697 |
+
"step": 1496
|
698 |
+
},
|
699 |
+
{
|
700 |
+
"epoch": 4.3352435530085955,
|
701 |
+
"grad_norm": 0.7109397649765015,
|
702 |
+
"learning_rate": 3.5513398779517116e-05,
|
703 |
+
"loss": 0.2127,
|
704 |
+
"step": 1513
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 4.383954154727793,
|
708 |
+
"grad_norm": 1.54320228099823,
|
709 |
+
"learning_rate": 3.528787476784293e-05,
|
710 |
+
"loss": 0.2202,
|
711 |
+
"step": 1530
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 4.432664756446991,
|
715 |
+
"grad_norm": 10.156286239624023,
|
716 |
+
"learning_rate": 3.506235075616875e-05,
|
717 |
+
"loss": 0.3263,
|
718 |
+
"step": 1547
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 4.481375358166189,
|
722 |
+
"grad_norm": 11.149276733398438,
|
723 |
+
"learning_rate": 3.4836826744494563e-05,
|
724 |
+
"loss": 0.213,
|
725 |
+
"step": 1564
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 4.530085959885387,
|
729 |
+
"grad_norm": 14.087788581848145,
|
730 |
+
"learning_rate": 3.461130273282038e-05,
|
731 |
+
"loss": 0.3907,
|
732 |
+
"step": 1581
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 4.578796561604585,
|
736 |
+
"grad_norm": 6.006841659545898,
|
737 |
+
"learning_rate": 3.43857787211462e-05,
|
738 |
+
"loss": 0.4959,
|
739 |
+
"step": 1598
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 4.6275071633237825,
|
743 |
+
"grad_norm": 6.818835258483887,
|
744 |
+
"learning_rate": 3.416025470947201e-05,
|
745 |
+
"loss": 0.3309,
|
746 |
+
"step": 1615
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 4.6762177650429795,
|
750 |
+
"grad_norm": 1.0696688890457153,
|
751 |
+
"learning_rate": 3.393473069779783e-05,
|
752 |
+
"loss": 0.2245,
|
753 |
+
"step": 1632
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 4.724928366762177,
|
757 |
+
"grad_norm": 11.383952140808105,
|
758 |
+
"learning_rate": 3.370920668612364e-05,
|
759 |
+
"loss": 0.3473,
|
760 |
+
"step": 1649
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 4.773638968481375,
|
764 |
+
"grad_norm": 7.438843727111816,
|
765 |
+
"learning_rate": 3.348368267444946e-05,
|
766 |
+
"loss": 0.2508,
|
767 |
+
"step": 1666
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 4.822349570200573,
|
771 |
+
"grad_norm": 1.553702473640442,
|
772 |
+
"learning_rate": 3.325815866277527e-05,
|
773 |
+
"loss": 0.2669,
|
774 |
+
"step": 1683
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 4.871060171919771,
|
778 |
+
"grad_norm": 5.968568325042725,
|
779 |
+
"learning_rate": 3.303263465110109e-05,
|
780 |
+
"loss": 0.1219,
|
781 |
+
"step": 1700
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 4.919770773638969,
|
785 |
+
"grad_norm": 0.3757087290287018,
|
786 |
+
"learning_rate": 3.280711063942691e-05,
|
787 |
+
"loss": 0.2749,
|
788 |
+
"step": 1717
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 4.9684813753581665,
|
792 |
+
"grad_norm": 7.143729209899902,
|
793 |
+
"learning_rate": 3.258158662775272e-05,
|
794 |
+
"loss": 0.1591,
|
795 |
+
"step": 1734
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 5.0,
|
799 |
+
"eval_accuracy": 0.9885222381635581,
|
800 |
+
"eval_f1_macro": 0.9880046003912989,
|
801 |
+
"eval_f1_micro": 0.9885222381635581,
|
802 |
+
"eval_f1_weighted": 0.9883902987879117,
|
803 |
+
"eval_loss": 0.05691728740930557,
|
804 |
+
"eval_precision_macro": 0.9900693683826214,
|
805 |
+
"eval_precision_micro": 0.9885222381635581,
|
806 |
+
"eval_precision_weighted": 0.9900236221613553,
|
807 |
+
"eval_recall_macro": 0.9879231210556513,
|
808 |
+
"eval_recall_micro": 0.9885222381635581,
|
809 |
+
"eval_recall_weighted": 0.9885222381635581,
|
810 |
+
"eval_runtime": 3.3973,
|
811 |
+
"eval_samples_per_second": 205.165,
|
812 |
+
"eval_steps_per_second": 12.952,
|
813 |
+
"step": 1745
|
814 |
+
},
|
815 |
+
{
|
816 |
+
"epoch": 5.017191977077364,
|
817 |
+
"grad_norm": 1.9127634763717651,
|
818 |
+
"learning_rate": 3.2356062616078534e-05,
|
819 |
+
"loss": 0.397,
|
820 |
+
"step": 1751
|
821 |
+
},
|
822 |
+
{
|
823 |
+
"epoch": 5.065902578796561,
|
824 |
+
"grad_norm": 8.336675643920898,
|
825 |
+
"learning_rate": 3.2130538604404355e-05,
|
826 |
+
"loss": 0.2355,
|
827 |
+
"step": 1768
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 5.114613180515759,
|
831 |
+
"grad_norm": 7.159496307373047,
|
832 |
+
"learning_rate": 3.190501459273017e-05,
|
833 |
+
"loss": 0.2086,
|
834 |
+
"step": 1785
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 5.163323782234957,
|
838 |
+
"grad_norm": 6.03056526184082,
|
839 |
+
"learning_rate": 3.167949058105599e-05,
|
840 |
+
"loss": 0.2212,
|
841 |
+
"step": 1802
|
842 |
+
},
|
843 |
+
{
|
844 |
+
"epoch": 5.212034383954155,
|
845 |
+
"grad_norm": 7.681415557861328,
|
846 |
+
"learning_rate": 3.1453966569381796e-05,
|
847 |
+
"loss": 0.2721,
|
848 |
+
"step": 1819
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 5.260744985673353,
|
852 |
+
"grad_norm": 1.4911251068115234,
|
853 |
+
"learning_rate": 3.1228442557707616e-05,
|
854 |
+
"loss": 0.1994,
|
855 |
+
"step": 1836
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 5.30945558739255,
|
859 |
+
"grad_norm": 7.99345588684082,
|
860 |
+
"learning_rate": 3.100291854603343e-05,
|
861 |
+
"loss": 0.312,
|
862 |
+
"step": 1853
|
863 |
+
},
|
864 |
+
{
|
865 |
+
"epoch": 5.358166189111748,
|
866 |
+
"grad_norm": 3.288712978363037,
|
867 |
+
"learning_rate": 3.077739453435925e-05,
|
868 |
+
"loss": 0.3002,
|
869 |
+
"step": 1870
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 5.406876790830945,
|
873 |
+
"grad_norm": 0.1384359449148178,
|
874 |
+
"learning_rate": 3.0551870522685064e-05,
|
875 |
+
"loss": 0.1875,
|
876 |
+
"step": 1887
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 5.455587392550143,
|
880 |
+
"grad_norm": 2.912055730819702,
|
881 |
+
"learning_rate": 3.0326346511010878e-05,
|
882 |
+
"loss": 0.1617,
|
883 |
+
"step": 1904
|
884 |
+
},
|
885 |
+
{
|
886 |
+
"epoch": 5.504297994269341,
|
887 |
+
"grad_norm": 9.510294914245605,
|
888 |
+
"learning_rate": 3.0100822499336695e-05,
|
889 |
+
"loss": 0.1553,
|
890 |
+
"step": 1921
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 5.553008595988539,
|
894 |
+
"grad_norm": 5.520040988922119,
|
895 |
+
"learning_rate": 2.9875298487662512e-05,
|
896 |
+
"loss": 0.1949,
|
897 |
+
"step": 1938
|
898 |
+
},
|
899 |
+
{
|
900 |
+
"epoch": 5.6017191977077365,
|
901 |
+
"grad_norm": 0.39325079321861267,
|
902 |
+
"learning_rate": 2.964977447598833e-05,
|
903 |
+
"loss": 0.2814,
|
904 |
+
"step": 1955
|
905 |
+
},
|
906 |
+
{
|
907 |
+
"epoch": 5.650429799426934,
|
908 |
+
"grad_norm": 0.1934385895729065,
|
909 |
+
"learning_rate": 2.942425046431414e-05,
|
910 |
+
"loss": 0.3251,
|
911 |
+
"step": 1972
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 5.699140401146132,
|
915 |
+
"grad_norm": 5.8890533447265625,
|
916 |
+
"learning_rate": 2.9198726452639957e-05,
|
917 |
+
"loss": 0.1652,
|
918 |
+
"step": 1989
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 5.747851002865329,
|
922 |
+
"grad_norm": 5.028823375701904,
|
923 |
+
"learning_rate": 2.8973202440965774e-05,
|
924 |
+
"loss": 0.305,
|
925 |
+
"step": 2006
|
926 |
+
},
|
927 |
+
{
|
928 |
+
"epoch": 5.796561604584527,
|
929 |
+
"grad_norm": 0.35111504793167114,
|
930 |
+
"learning_rate": 2.874767842929159e-05,
|
931 |
+
"loss": 0.1684,
|
932 |
+
"step": 2023
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 5.845272206303725,
|
936 |
+
"grad_norm": 1.910530686378479,
|
937 |
+
"learning_rate": 2.8522154417617408e-05,
|
938 |
+
"loss": 0.2535,
|
939 |
+
"step": 2040
|
940 |
+
},
|
941 |
+
{
|
942 |
+
"epoch": 5.893982808022923,
|
943 |
+
"grad_norm": 5.5074334144592285,
|
944 |
+
"learning_rate": 2.8296630405943218e-05,
|
945 |
+
"loss": 0.2924,
|
946 |
+
"step": 2057
|
947 |
+
},
|
948 |
+
{
|
949 |
+
"epoch": 5.9426934097421205,
|
950 |
+
"grad_norm": 6.081971645355225,
|
951 |
+
"learning_rate": 2.8071106394269035e-05,
|
952 |
+
"loss": 0.1663,
|
953 |
+
"step": 2074
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 5.991404011461318,
|
957 |
+
"grad_norm": 1.7783217430114746,
|
958 |
+
"learning_rate": 2.7845582382594852e-05,
|
959 |
+
"loss": 0.1912,
|
960 |
+
"step": 2091
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 6.0,
|
964 |
+
"eval_accuracy": 0.9971305595408895,
|
965 |
+
"eval_f1_macro": 0.997156659844563,
|
966 |
+
"eval_f1_micro": 0.9971305595408895,
|
967 |
+
"eval_f1_weighted": 0.9971139798573604,
|
968 |
+
"eval_loss": 0.031095275655388832,
|
969 |
+
"eval_precision_macro": 0.9975660216624072,
|
970 |
+
"eval_precision_micro": 0.9971305595408895,
|
971 |
+
"eval_precision_weighted": 0.9974204020115067,
|
972 |
+
"eval_recall_macro": 0.9970740103270225,
|
973 |
+
"eval_recall_micro": 0.9971305595408895,
|
974 |
+
"eval_recall_weighted": 0.9971305595408895,
|
975 |
+
"eval_runtime": 3.3447,
|
976 |
+
"eval_samples_per_second": 208.387,
|
977 |
+
"eval_steps_per_second": 13.155,
|
978 |
+
"step": 2094
|
979 |
+
},
|
980 |
+
{
|
981 |
+
"epoch": 6.040114613180516,
|
982 |
+
"grad_norm": 12.544295310974121,
|
983 |
+
"learning_rate": 2.762005837092067e-05,
|
984 |
+
"loss": 0.2401,
|
985 |
+
"step": 2108
|
986 |
+
},
|
987 |
+
{
|
988 |
+
"epoch": 6.088825214899713,
|
989 |
+
"grad_norm": 0.36089888215065,
|
990 |
+
"learning_rate": 2.7394534359246486e-05,
|
991 |
+
"loss": 0.1197,
|
992 |
+
"step": 2125
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 6.137535816618911,
|
996 |
+
"grad_norm": 3.824916124343872,
|
997 |
+
"learning_rate": 2.71690103475723e-05,
|
998 |
+
"loss": 0.2304,
|
999 |
+
"step": 2142
|
1000 |
+
},
|
1001 |
+
{
|
1002 |
+
"epoch": 6.186246418338109,
|
1003 |
+
"grad_norm": 7.010196685791016,
|
1004 |
+
"learning_rate": 2.6943486335898117e-05,
|
1005 |
+
"loss": 0.2393,
|
1006 |
+
"step": 2159
|
1007 |
+
},
|
1008 |
+
{
|
1009 |
+
"epoch": 6.234957020057307,
|
1010 |
+
"grad_norm": 0.23738817870616913,
|
1011 |
+
"learning_rate": 2.6717962324223934e-05,
|
1012 |
+
"loss": 0.2878,
|
1013 |
+
"step": 2176
|
1014 |
+
},
|
1015 |
+
{
|
1016 |
+
"epoch": 6.283667621776504,
|
1017 |
+
"grad_norm": 6.685153961181641,
|
1018 |
+
"learning_rate": 2.649243831254975e-05,
|
1019 |
+
"loss": 0.23,
|
1020 |
+
"step": 2193
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 6.332378223495702,
|
1024 |
+
"grad_norm": 9.155635833740234,
|
1025 |
+
"learning_rate": 2.626691430087557e-05,
|
1026 |
+
"loss": 0.127,
|
1027 |
+
"step": 2210
|
1028 |
+
},
|
1029 |
+
{
|
1030 |
+
"epoch": 6.3810888252149,
|
1031 |
+
"grad_norm": 1.8248714208602905,
|
1032 |
+
"learning_rate": 2.604139028920138e-05,
|
1033 |
+
"loss": 0.264,
|
1034 |
+
"step": 2227
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 6.429799426934097,
|
1038 |
+
"grad_norm": 3.287179946899414,
|
1039 |
+
"learning_rate": 2.5815866277527196e-05,
|
1040 |
+
"loss": 0.2568,
|
1041 |
+
"step": 2244
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 6.478510028653295,
|
1045 |
+
"grad_norm": 0.12249535322189331,
|
1046 |
+
"learning_rate": 2.5590342265853013e-05,
|
1047 |
+
"loss": 0.1211,
|
1048 |
+
"step": 2261
|
1049 |
+
},
|
1050 |
+
{
|
1051 |
+
"epoch": 6.527220630372493,
|
1052 |
+
"grad_norm": 9.649252891540527,
|
1053 |
+
"learning_rate": 2.536481825417883e-05,
|
1054 |
+
"loss": 0.2599,
|
1055 |
+
"step": 2278
|
1056 |
+
},
|
1057 |
+
{
|
1058 |
+
"epoch": 6.5759312320916905,
|
1059 |
+
"grad_norm": 8.501516342163086,
|
1060 |
+
"learning_rate": 2.5139294242504647e-05,
|
1061 |
+
"loss": 0.1997,
|
1062 |
+
"step": 2295
|
1063 |
+
},
|
1064 |
+
{
|
1065 |
+
"epoch": 6.624641833810888,
|
1066 |
+
"grad_norm": 6.785931587219238,
|
1067 |
+
"learning_rate": 2.491377023083046e-05,
|
1068 |
+
"loss": 0.1947,
|
1069 |
+
"step": 2312
|
1070 |
+
},
|
1071 |
+
{
|
1072 |
+
"epoch": 6.673352435530086,
|
1073 |
+
"grad_norm": 1.3328988552093506,
|
1074 |
+
"learning_rate": 2.4688246219156274e-05,
|
1075 |
+
"loss": 0.2236,
|
1076 |
+
"step": 2329
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 6.722063037249284,
|
1080 |
+
"grad_norm": 9.384140014648438,
|
1081 |
+
"learning_rate": 2.446272220748209e-05,
|
1082 |
+
"loss": 0.2394,
|
1083 |
+
"step": 2346
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 6.770773638968482,
|
1087 |
+
"grad_norm": 1.0058611631393433,
|
1088 |
+
"learning_rate": 2.423719819580791e-05,
|
1089 |
+
"loss": 0.1288,
|
1090 |
+
"step": 2363
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 6.819484240687679,
|
1094 |
+
"grad_norm": 0.7905517816543579,
|
1095 |
+
"learning_rate": 2.4011674184133722e-05,
|
1096 |
+
"loss": 0.1528,
|
1097 |
+
"step": 2380
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 6.868194842406877,
|
1101 |
+
"grad_norm": 10.827178955078125,
|
1102 |
+
"learning_rate": 2.378615017245954e-05,
|
1103 |
+
"loss": 0.1767,
|
1104 |
+
"step": 2397
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 6.916905444126074,
|
1108 |
+
"grad_norm": 7.897141933441162,
|
1109 |
+
"learning_rate": 2.3560626160785353e-05,
|
1110 |
+
"loss": 0.1411,
|
1111 |
+
"step": 2414
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 6.965616045845272,
|
1115 |
+
"grad_norm": 4.635827541351318,
|
1116 |
+
"learning_rate": 2.333510214911117e-05,
|
1117 |
+
"loss": 0.1712,
|
1118 |
+
"step": 2431
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 7.0,
|
1122 |
+
"eval_accuracy": 0.9956958393113343,
|
1123 |
+
"eval_f1_macro": 0.9951431111442676,
|
1124 |
+
"eval_f1_micro": 0.9956958393113343,
|
1125 |
+
"eval_f1_weighted": 0.9956405011600654,
|
1126 |
+
"eval_loss": 0.024958999827504158,
|
1127 |
+
"eval_precision_macro": 0.995983935742972,
|
1128 |
+
"eval_precision_micro": 0.9956958393113343,
|
1129 |
+
"eval_precision_weighted": 0.9964929061055317,
|
1130 |
+
"eval_recall_macro": 0.9953528399311532,
|
1131 |
+
"eval_recall_micro": 0.9956958393113343,
|
1132 |
+
"eval_recall_weighted": 0.9956958393113343,
|
1133 |
+
"eval_runtime": 3.4628,
|
1134 |
+
"eval_samples_per_second": 201.281,
|
1135 |
+
"eval_steps_per_second": 12.706,
|
1136 |
+
"step": 2443
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 7.01432664756447,
|
1140 |
+
"grad_norm": 0.12232652306556702,
|
1141 |
+
"learning_rate": 2.3109578137436987e-05,
|
1142 |
+
"loss": 0.2055,
|
1143 |
+
"step": 2448
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 7.063037249283668,
|
1147 |
+
"grad_norm": 0.07312128692865372,
|
1148 |
+
"learning_rate": 2.28840541257628e-05,
|
1149 |
+
"loss": 0.1848,
|
1150 |
+
"step": 2465
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 7.111747851002866,
|
1154 |
+
"grad_norm": 0.32181409001350403,
|
1155 |
+
"learning_rate": 2.2658530114088618e-05,
|
1156 |
+
"loss": 0.1364,
|
1157 |
+
"step": 2482
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 7.160458452722063,
|
1161 |
+
"grad_norm": 0.7672788500785828,
|
1162 |
+
"learning_rate": 2.2433006102414432e-05,
|
1163 |
+
"loss": 0.072,
|
1164 |
+
"step": 2499
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 7.2091690544412605,
|
1168 |
+
"grad_norm": 8.377331733703613,
|
1169 |
+
"learning_rate": 2.220748209074025e-05,
|
1170 |
+
"loss": 0.2638,
|
1171 |
+
"step": 2516
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 7.257879656160458,
|
1175 |
+
"grad_norm": 9.670488357543945,
|
1176 |
+
"learning_rate": 2.1981958079066066e-05,
|
1177 |
+
"loss": 0.2495,
|
1178 |
+
"step": 2533
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 7.306590257879656,
|
1182 |
+
"grad_norm": 0.24363534152507782,
|
1183 |
+
"learning_rate": 2.1756434067391883e-05,
|
1184 |
+
"loss": 0.2038,
|
1185 |
+
"step": 2550
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 7.355300859598854,
|
1189 |
+
"grad_norm": 2.2357654571533203,
|
1190 |
+
"learning_rate": 2.15309100557177e-05,
|
1191 |
+
"loss": 0.2934,
|
1192 |
+
"step": 2567
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 7.404011461318052,
|
1196 |
+
"grad_norm": 0.20546384155750275,
|
1197 |
+
"learning_rate": 2.1305386044043514e-05,
|
1198 |
+
"loss": 0.1834,
|
1199 |
+
"step": 2584
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 7.45272206303725,
|
1203 |
+
"grad_norm": 0.32598844170570374,
|
1204 |
+
"learning_rate": 2.107986203236933e-05,
|
1205 |
+
"loss": 0.0821,
|
1206 |
+
"step": 2601
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 7.501432664756447,
|
1210 |
+
"grad_norm": 8.553650856018066,
|
1211 |
+
"learning_rate": 2.0854338020695148e-05,
|
1212 |
+
"loss": 0.0992,
|
1213 |
+
"step": 2618
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 7.5501432664756445,
|
1217 |
+
"grad_norm": 0.3119734525680542,
|
1218 |
+
"learning_rate": 2.062881400902096e-05,
|
1219 |
+
"loss": 0.2344,
|
1220 |
+
"step": 2635
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 7.598853868194842,
|
1224 |
+
"grad_norm": 6.1670002937316895,
|
1225 |
+
"learning_rate": 2.040328999734678e-05,
|
1226 |
+
"loss": 0.1058,
|
1227 |
+
"step": 2652
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 7.64756446991404,
|
1231 |
+
"grad_norm": 2.705218553543091,
|
1232 |
+
"learning_rate": 2.0177765985672592e-05,
|
1233 |
+
"loss": 0.1608,
|
1234 |
+
"step": 2669
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 7.696275071633238,
|
1238 |
+
"grad_norm": 5.938003063201904,
|
1239 |
+
"learning_rate": 1.995224197399841e-05,
|
1240 |
+
"loss": 0.1554,
|
1241 |
+
"step": 2686
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 7.744985673352436,
|
1245 |
+
"grad_norm": 0.41698479652404785,
|
1246 |
+
"learning_rate": 1.9726717962324227e-05,
|
1247 |
+
"loss": 0.0979,
|
1248 |
+
"step": 2703
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 7.793696275071634,
|
1252 |
+
"grad_norm": 0.4503624141216278,
|
1253 |
+
"learning_rate": 1.950119395065004e-05,
|
1254 |
+
"loss": 0.1353,
|
1255 |
+
"step": 2720
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 7.842406876790831,
|
1259 |
+
"grad_norm": 4.662674427032471,
|
1260 |
+
"learning_rate": 1.9275669938975857e-05,
|
1261 |
+
"loss": 0.1295,
|
1262 |
+
"step": 2737
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 7.891117478510028,
|
1266 |
+
"grad_norm": 5.666357517242432,
|
1267 |
+
"learning_rate": 1.905014592730167e-05,
|
1268 |
+
"loss": 0.2144,
|
1269 |
+
"step": 2754
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 7.939828080229226,
|
1273 |
+
"grad_norm": 0.6394052505493164,
|
1274 |
+
"learning_rate": 1.8824621915627488e-05,
|
1275 |
+
"loss": 0.178,
|
1276 |
+
"step": 2771
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 7.988538681948424,
|
1280 |
+
"grad_norm": 9.961098670959473,
|
1281 |
+
"learning_rate": 1.8599097903953305e-05,
|
1282 |
+
"loss": 0.2561,
|
1283 |
+
"step": 2788
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 8.0,
|
1287 |
+
"eval_accuracy": 0.9956958393113343,
|
1288 |
+
"eval_f1_macro": 0.9951431111442676,
|
1289 |
+
"eval_f1_micro": 0.9956958393113343,
|
1290 |
+
"eval_f1_weighted": 0.9956405011600654,
|
1291 |
+
"eval_loss": 0.023447172716259956,
|
1292 |
+
"eval_precision_macro": 0.995983935742972,
|
1293 |
+
"eval_precision_micro": 0.9956958393113343,
|
1294 |
+
"eval_precision_weighted": 0.9964929061055317,
|
1295 |
+
"eval_recall_macro": 0.9953528399311532,
|
1296 |
+
"eval_recall_micro": 0.9956958393113343,
|
1297 |
+
"eval_recall_weighted": 0.9956958393113343,
|
1298 |
+
"eval_runtime": 3.3596,
|
1299 |
+
"eval_samples_per_second": 207.466,
|
1300 |
+
"eval_steps_per_second": 13.097,
|
1301 |
+
"step": 2792
|
1302 |
+
},
|
1303 |
+
{
|
1304 |
+
"epoch": 8.037249283667622,
|
1305 |
+
"grad_norm": 10.93313217163086,
|
1306 |
+
"learning_rate": 1.837357389227912e-05,
|
1307 |
+
"loss": 0.11,
|
1308 |
+
"step": 2805
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 8.085959885386819,
|
1312 |
+
"grad_norm": 0.05085707828402519,
|
1313 |
+
"learning_rate": 1.8148049880604936e-05,
|
1314 |
+
"loss": 0.0616,
|
1315 |
+
"step": 2822
|
1316 |
+
},
|
1317 |
+
{
|
1318 |
+
"epoch": 8.134670487106018,
|
1319 |
+
"grad_norm": 10.42803955078125,
|
1320 |
+
"learning_rate": 1.792252586893075e-05,
|
1321 |
+
"loss": 0.0648,
|
1322 |
+
"step": 2839
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 8.183381088825215,
|
1326 |
+
"grad_norm": 1.379164457321167,
|
1327 |
+
"learning_rate": 1.7697001857256567e-05,
|
1328 |
+
"loss": 0.1706,
|
1329 |
+
"step": 2856
|
1330 |
+
},
|
1331 |
+
{
|
1332 |
+
"epoch": 8.232091690544413,
|
1333 |
+
"grad_norm": 8.783364295959473,
|
1334 |
+
"learning_rate": 1.7471477845582384e-05,
|
1335 |
+
"loss": 0.1954,
|
1336 |
+
"step": 2873
|
1337 |
+
},
|
1338 |
+
{
|
1339 |
+
"epoch": 8.28080229226361,
|
1340 |
+
"grad_norm": 1.5522698163986206,
|
1341 |
+
"learning_rate": 1.7245953833908197e-05,
|
1342 |
+
"loss": 0.2134,
|
1343 |
+
"step": 2890
|
1344 |
+
},
|
1345 |
+
{
|
1346 |
+
"epoch": 8.329512893982809,
|
1347 |
+
"grad_norm": 6.784268379211426,
|
1348 |
+
"learning_rate": 1.7020429822234015e-05,
|
1349 |
+
"loss": 0.1928,
|
1350 |
+
"step": 2907
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 8.378223495702006,
|
1354 |
+
"grad_norm": 3.0361063480377197,
|
1355 |
+
"learning_rate": 1.679490581055983e-05,
|
1356 |
+
"loss": 0.3187,
|
1357 |
+
"step": 2924
|
1358 |
+
},
|
1359 |
+
{
|
1360 |
+
"epoch": 8.426934097421203,
|
1361 |
+
"grad_norm": 1.8513216972351074,
|
1362 |
+
"learning_rate": 1.6569381798885645e-05,
|
1363 |
+
"loss": 0.1319,
|
1364 |
+
"step": 2941
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 8.475644699140402,
|
1368 |
+
"grad_norm": 0.5567758083343506,
|
1369 |
+
"learning_rate": 1.6343857787211462e-05,
|
1370 |
+
"loss": 0.136,
|
1371 |
+
"step": 2958
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 8.524355300859598,
|
1375 |
+
"grad_norm": 2.810915231704712,
|
1376 |
+
"learning_rate": 1.611833377553728e-05,
|
1377 |
+
"loss": 0.0858,
|
1378 |
+
"step": 2975
|
1379 |
+
},
|
1380 |
+
{
|
1381 |
+
"epoch": 8.573065902578797,
|
1382 |
+
"grad_norm": 1.9855493307113647,
|
1383 |
+
"learning_rate": 1.5892809763863097e-05,
|
1384 |
+
"loss": 0.1732,
|
1385 |
+
"step": 2992
|
1386 |
+
},
|
1387 |
+
{
|
1388 |
+
"epoch": 8.621776504297994,
|
1389 |
+
"grad_norm": 0.1735798567533493,
|
1390 |
+
"learning_rate": 1.566728575218891e-05,
|
1391 |
+
"loss": 0.0911,
|
1392 |
+
"step": 3009
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 8.670487106017191,
|
1396 |
+
"grad_norm": 0.19329993426799774,
|
1397 |
+
"learning_rate": 1.5441761740514727e-05,
|
1398 |
+
"loss": 0.1024,
|
1399 |
+
"step": 3026
|
1400 |
+
},
|
1401 |
+
{
|
1402 |
+
"epoch": 8.71919770773639,
|
1403 |
+
"grad_norm": 4.43624210357666,
|
1404 |
+
"learning_rate": 1.5216237728840543e-05,
|
1405 |
+
"loss": 0.1408,
|
1406 |
+
"step": 3043
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 8.767908309455587,
|
1410 |
+
"grad_norm": 9.911310195922852,
|
1411 |
+
"learning_rate": 1.4990713717166358e-05,
|
1412 |
+
"loss": 0.1626,
|
1413 |
+
"step": 3060
|
1414 |
+
},
|
1415 |
+
{
|
1416 |
+
"epoch": 8.816618911174785,
|
1417 |
+
"grad_norm": 1.323052167892456,
|
1418 |
+
"learning_rate": 1.4765189705492175e-05,
|
1419 |
+
"loss": 0.1222,
|
1420 |
+
"step": 3077
|
1421 |
+
},
|
1422 |
+
{
|
1423 |
+
"epoch": 8.865329512893982,
|
1424 |
+
"grad_norm": 11.561975479125977,
|
1425 |
+
"learning_rate": 1.4539665693817989e-05,
|
1426 |
+
"loss": 0.1769,
|
1427 |
+
"step": 3094
|
1428 |
+
},
|
1429 |
+
{
|
1430 |
+
"epoch": 8.914040114613181,
|
1431 |
+
"grad_norm": 0.08104487508535385,
|
1432 |
+
"learning_rate": 1.4314141682143806e-05,
|
1433 |
+
"loss": 0.0953,
|
1434 |
+
"step": 3111
|
1435 |
+
},
|
1436 |
+
{
|
1437 |
+
"epoch": 8.962750716332378,
|
1438 |
+
"grad_norm": 0.04927730932831764,
|
1439 |
+
"learning_rate": 1.408861767046962e-05,
|
1440 |
+
"loss": 0.0574,
|
1441 |
+
"step": 3128
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 9.0,
|
1445 |
+
"eval_accuracy": 0.9956958393113343,
|
1446 |
+
"eval_f1_macro": 0.9948504424939576,
|
1447 |
+
"eval_f1_micro": 0.9956958393113343,
|
1448 |
+
"eval_f1_weighted": 0.9956230754082893,
|
1449 |
+
"eval_loss": 0.017519734799861908,
|
1450 |
+
"eval_precision_macro": 0.995983935742972,
|
1451 |
+
"eval_precision_micro": 0.9956958393113343,
|
1452 |
+
"eval_precision_weighted": 0.9964929061055317,
|
1453 |
+
"eval_recall_macro": 0.9948364888123926,
|
1454 |
+
"eval_recall_micro": 0.9956958393113343,
|
1455 |
+
"eval_recall_weighted": 0.9956958393113343,
|
1456 |
+
"eval_runtime": 3.4072,
|
1457 |
+
"eval_samples_per_second": 204.565,
|
1458 |
+
"eval_steps_per_second": 12.914,
|
1459 |
+
"step": 3141
|
1460 |
+
},
|
1461 |
+
{
|
1462 |
+
"epoch": 9.011461318051577,
|
1463 |
+
"grad_norm": 0.3880198001861572,
|
1464 |
+
"learning_rate": 1.3863093658795437e-05,
|
1465 |
+
"loss": 0.1954,
|
1466 |
+
"step": 3145
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 9.060171919770774,
|
1470 |
+
"grad_norm": 0.05076654255390167,
|
1471 |
+
"learning_rate": 1.3637569647121254e-05,
|
1472 |
+
"loss": 0.0797,
|
1473 |
+
"step": 3162
|
1474 |
+
},
|
1475 |
+
{
|
1476 |
+
"epoch": 9.10888252148997,
|
1477 |
+
"grad_norm": 6.032546043395996,
|
1478 |
+
"learning_rate": 1.3412045635447068e-05,
|
1479 |
+
"loss": 0.2393,
|
1480 |
+
"step": 3179
|
1481 |
+
},
|
1482 |
+
{
|
1483 |
+
"epoch": 9.15759312320917,
|
1484 |
+
"grad_norm": 11.056164741516113,
|
1485 |
+
"learning_rate": 1.3186521623772885e-05,
|
1486 |
+
"loss": 0.1001,
|
1487 |
+
"step": 3196
|
1488 |
+
},
|
1489 |
+
{
|
1490 |
+
"epoch": 9.206303724928366,
|
1491 |
+
"grad_norm": 0.19840994477272034,
|
1492 |
+
"learning_rate": 1.29609976120987e-05,
|
1493 |
+
"loss": 0.0743,
|
1494 |
+
"step": 3213
|
1495 |
+
},
|
1496 |
+
{
|
1497 |
+
"epoch": 9.255014326647565,
|
1498 |
+
"grad_norm": 4.645060062408447,
|
1499 |
+
"learning_rate": 1.2735473600424515e-05,
|
1500 |
+
"loss": 0.1446,
|
1501 |
+
"step": 3230
|
1502 |
+
},
|
1503 |
+
{
|
1504 |
+
"epoch": 9.303724928366762,
|
1505 |
+
"grad_norm": 9.013117790222168,
|
1506 |
+
"learning_rate": 1.2509949588750332e-05,
|
1507 |
+
"loss": 0.1288,
|
1508 |
+
"step": 3247
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 9.35243553008596,
|
1512 |
+
"grad_norm": 1.7711181640625,
|
1513 |
+
"learning_rate": 1.228442557707615e-05,
|
1514 |
+
"loss": 0.0835,
|
1515 |
+
"step": 3264
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 9.401146131805158,
|
1519 |
+
"grad_norm": 5.3366379737854,
|
1520 |
+
"learning_rate": 1.2058901565401965e-05,
|
1521 |
+
"loss": 0.1201,
|
1522 |
+
"step": 3281
|
1523 |
+
},
|
1524 |
+
{
|
1525 |
+
"epoch": 9.449856733524355,
|
1526 |
+
"grad_norm": 3.4900286197662354,
|
1527 |
+
"learning_rate": 1.183337755372778e-05,
|
1528 |
+
"loss": 0.1026,
|
1529 |
+
"step": 3298
|
1530 |
+
},
|
1531 |
+
{
|
1532 |
+
"epoch": 9.498567335243553,
|
1533 |
+
"grad_norm": 0.059569913893938065,
|
1534 |
+
"learning_rate": 1.1607853542053596e-05,
|
1535 |
+
"loss": 0.1123,
|
1536 |
+
"step": 3315
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 9.54727793696275,
|
1540 |
+
"grad_norm": 8.251703262329102,
|
1541 |
+
"learning_rate": 1.1382329530379411e-05,
|
1542 |
+
"loss": 0.1441,
|
1543 |
+
"step": 3332
|
1544 |
+
},
|
1545 |
+
{
|
1546 |
+
"epoch": 9.595988538681949,
|
1547 |
+
"grad_norm": 1.078260064125061,
|
1548 |
+
"learning_rate": 1.1156805518705226e-05,
|
1549 |
+
"loss": 0.1191,
|
1550 |
+
"step": 3349
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 9.644699140401146,
|
1554 |
+
"grad_norm": 7.364470958709717,
|
1555 |
+
"learning_rate": 1.0931281507031044e-05,
|
1556 |
+
"loss": 0.1539,
|
1557 |
+
"step": 3366
|
1558 |
+
},
|
1559 |
+
{
|
1560 |
+
"epoch": 9.693409742120345,
|
1561 |
+
"grad_norm": 2.354499101638794,
|
1562 |
+
"learning_rate": 1.0705757495356859e-05,
|
1563 |
+
"loss": 0.1502,
|
1564 |
+
"step": 3383
|
1565 |
+
},
|
1566 |
+
{
|
1567 |
+
"epoch": 9.742120343839542,
|
1568 |
+
"grad_norm": 10.193525314331055,
|
1569 |
+
"learning_rate": 1.0480233483682674e-05,
|
1570 |
+
"loss": 0.1199,
|
1571 |
+
"step": 3400
|
1572 |
+
},
|
1573 |
+
{
|
1574 |
+
"epoch": 9.790830945558739,
|
1575 |
+
"grad_norm": 2.536367893218994,
|
1576 |
+
"learning_rate": 1.025470947200849e-05,
|
1577 |
+
"loss": 0.2098,
|
1578 |
+
"step": 3417
|
1579 |
+
},
|
1580 |
+
{
|
1581 |
+
"epoch": 9.839541547277937,
|
1582 |
+
"grad_norm": 5.09243631362915,
|
1583 |
+
"learning_rate": 1.0029185460334307e-05,
|
1584 |
+
"loss": 0.2896,
|
1585 |
+
"step": 3434
|
1586 |
+
},
|
1587 |
+
{
|
1588 |
+
"epoch": 9.888252148997134,
|
1589 |
+
"grad_norm": 1.098929762840271,
|
1590 |
+
"learning_rate": 9.803661448660124e-06,
|
1591 |
+
"loss": 0.1017,
|
1592 |
+
"step": 3451
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 9.936962750716333,
|
1596 |
+
"grad_norm": 0.1535651981830597,
|
1597 |
+
"learning_rate": 9.57813743698594e-06,
|
1598 |
+
"loss": 0.1077,
|
1599 |
+
"step": 3468
|
1600 |
+
},
|
1601 |
+
{
|
1602 |
+
"epoch": 9.98567335243553,
|
1603 |
+
"grad_norm": 0.5236210227012634,
|
1604 |
+
"learning_rate": 9.352613425311755e-06,
|
1605 |
+
"loss": 0.084,
|
1606 |
+
"step": 3485
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 10.0,
|
1610 |
+
"eval_accuracy": 0.9956958393113343,
|
1611 |
+
"eval_f1_macro": 0.9949831411206324,
|
1612 |
+
"eval_f1_micro": 0.9956958393113343,
|
1613 |
+
"eval_f1_weighted": 0.9955771743939521,
|
1614 |
+
"eval_loss": 0.015395666472613811,
|
1615 |
+
"eval_precision_macro": 0.9964707314104905,
|
1616 |
+
"eval_precision_micro": 0.9956958393113343,
|
1617 |
+
"eval_precision_weighted": 0.9963769691172847,
|
1618 |
+
"eval_recall_macro": 0.9945496270797476,
|
1619 |
+
"eval_recall_micro": 0.9956958393113343,
|
1620 |
+
"eval_recall_weighted": 0.9956958393113343,
|
1621 |
+
"eval_runtime": 3.4096,
|
1622 |
+
"eval_samples_per_second": 204.424,
|
1623 |
+
"eval_steps_per_second": 12.905,
|
1624 |
+
"step": 3490
|
1625 |
+
},
|
1626 |
+
{
|
1627 |
+
"epoch": 10.034383954154729,
|
1628 |
+
"grad_norm": 0.10064805299043655,
|
1629 |
+
"learning_rate": 9.12708941363757e-06,
|
1630 |
+
"loss": 0.129,
|
1631 |
+
"step": 3502
|
1632 |
+
},
|
1633 |
+
{
|
1634 |
+
"epoch": 10.083094555873926,
|
1635 |
+
"grad_norm": 0.9957130551338196,
|
1636 |
+
"learning_rate": 8.901565401963385e-06,
|
1637 |
+
"loss": 0.0652,
|
1638 |
+
"step": 3519
|
1639 |
+
},
|
1640 |
+
{
|
1641 |
+
"epoch": 10.131805157593123,
|
1642 |
+
"grad_norm": 4.763299465179443,
|
1643 |
+
"learning_rate": 8.676041390289202e-06,
|
1644 |
+
"loss": 0.1531,
|
1645 |
+
"step": 3536
|
1646 |
+
},
|
1647 |
+
{
|
1648 |
+
"epoch": 10.180515759312321,
|
1649 |
+
"grad_norm": 0.9550924897193909,
|
1650 |
+
"learning_rate": 8.450517378615018e-06,
|
1651 |
+
"loss": 0.0548,
|
1652 |
+
"step": 3553
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 10.229226361031518,
|
1656 |
+
"grad_norm": 0.5510568022727966,
|
1657 |
+
"learning_rate": 8.224993366940833e-06,
|
1658 |
+
"loss": 0.171,
|
1659 |
+
"step": 3570
|
1660 |
+
},
|
1661 |
+
{
|
1662 |
+
"epoch": 10.277936962750717,
|
1663 |
+
"grad_norm": 1.120082139968872,
|
1664 |
+
"learning_rate": 7.999469355266649e-06,
|
1665 |
+
"loss": 0.1506,
|
1666 |
+
"step": 3587
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 10.326647564469914,
|
1670 |
+
"grad_norm": 8.000428199768066,
|
1671 |
+
"learning_rate": 7.773945343592464e-06,
|
1672 |
+
"loss": 0.0791,
|
1673 |
+
"step": 3604
|
1674 |
+
},
|
1675 |
+
{
|
1676 |
+
"epoch": 10.375358166189113,
|
1677 |
+
"grad_norm": 0.08897445350885391,
|
1678 |
+
"learning_rate": 7.548421331918282e-06,
|
1679 |
+
"loss": 0.1006,
|
1680 |
+
"step": 3621
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 10.42406876790831,
|
1684 |
+
"grad_norm": 1.5076502561569214,
|
1685 |
+
"learning_rate": 7.322897320244097e-06,
|
1686 |
+
"loss": 0.1085,
|
1687 |
+
"step": 3638
|
1688 |
+
},
|
1689 |
+
{
|
1690 |
+
"epoch": 10.472779369627506,
|
1691 |
+
"grad_norm": 0.3444303870201111,
|
1692 |
+
"learning_rate": 7.097373308569913e-06,
|
1693 |
+
"loss": 0.0881,
|
1694 |
+
"step": 3655
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 10.521489971346705,
|
1698 |
+
"grad_norm": 5.353268146514893,
|
1699 |
+
"learning_rate": 6.871849296895728e-06,
|
1700 |
+
"loss": 0.1233,
|
1701 |
+
"step": 3672
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 10.570200573065902,
|
1705 |
+
"grad_norm": 6.925529479980469,
|
1706 |
+
"learning_rate": 6.646325285221544e-06,
|
1707 |
+
"loss": 0.1726,
|
1708 |
+
"step": 3689
|
1709 |
+
},
|
1710 |
+
{
|
1711 |
+
"epoch": 10.6189111747851,
|
1712 |
+
"grad_norm": 1.2398282289505005,
|
1713 |
+
"learning_rate": 6.42080127354736e-06,
|
1714 |
+
"loss": 0.1607,
|
1715 |
+
"step": 3706
|
1716 |
+
},
|
1717 |
+
{
|
1718 |
+
"epoch": 10.667621776504298,
|
1719 |
+
"grad_norm": 0.17667262256145477,
|
1720 |
+
"learning_rate": 6.195277261873176e-06,
|
1721 |
+
"loss": 0.1065,
|
1722 |
+
"step": 3723
|
1723 |
+
},
|
1724 |
+
{
|
1725 |
+
"epoch": 10.716332378223496,
|
1726 |
+
"grad_norm": 8.593550682067871,
|
1727 |
+
"learning_rate": 5.969753250198992e-06,
|
1728 |
+
"loss": 0.1598,
|
1729 |
+
"step": 3740
|
1730 |
+
},
|
1731 |
+
{
|
1732 |
+
"epoch": 10.765042979942693,
|
1733 |
+
"grad_norm": 6.634376049041748,
|
1734 |
+
"learning_rate": 5.744229238524808e-06,
|
1735 |
+
"loss": 0.214,
|
1736 |
+
"step": 3757
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 10.81375358166189,
|
1740 |
+
"grad_norm": 0.12865765392780304,
|
1741 |
+
"learning_rate": 5.518705226850624e-06,
|
1742 |
+
"loss": 0.1079,
|
1743 |
+
"step": 3774
|
1744 |
+
},
|
1745 |
+
{
|
1746 |
+
"epoch": 10.862464183381089,
|
1747 |
+
"grad_norm": 0.4588039815425873,
|
1748 |
+
"learning_rate": 5.29318121517644e-06,
|
1749 |
+
"loss": 0.1218,
|
1750 |
+
"step": 3791
|
1751 |
+
},
|
1752 |
+
{
|
1753 |
+
"epoch": 10.911174785100286,
|
1754 |
+
"grad_norm": 8.046585083007812,
|
1755 |
+
"learning_rate": 5.0676572035022555e-06,
|
1756 |
+
"loss": 0.1618,
|
1757 |
+
"step": 3808
|
1758 |
+
},
|
1759 |
+
{
|
1760 |
+
"epoch": 10.959885386819485,
|
1761 |
+
"grad_norm": 0.34073105454444885,
|
1762 |
+
"learning_rate": 4.842133191828072e-06,
|
1763 |
+
"loss": 0.0788,
|
1764 |
+
"step": 3825
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 11.0,
|
1768 |
+
"eval_accuracy": 1.0,
|
1769 |
+
"eval_f1_macro": 1.0,
|
1770 |
+
"eval_f1_micro": 1.0,
|
1771 |
+
"eval_f1_weighted": 1.0,
|
1772 |
+
"eval_loss": 0.011031342670321465,
|
1773 |
+
"eval_precision_macro": 1.0,
|
1774 |
+
"eval_precision_micro": 1.0,
|
1775 |
+
"eval_precision_weighted": 1.0,
|
1776 |
+
"eval_recall_macro": 1.0,
|
1777 |
+
"eval_recall_micro": 1.0,
|
1778 |
+
"eval_recall_weighted": 1.0,
|
1779 |
+
"eval_runtime": 3.4121,
|
1780 |
+
"eval_samples_per_second": 204.275,
|
1781 |
+
"eval_steps_per_second": 12.895,
|
1782 |
+
"step": 3839
|
1783 |
+
}
|
1784 |
+
],
|
1785 |
+
"logging_steps": 17,
|
1786 |
+
"max_steps": 4188,
|
1787 |
+
"num_input_tokens_seen": 0,
|
1788 |
+
"num_train_epochs": 12,
|
1789 |
+
"save_steps": 500,
|
1790 |
+
"stateful_callbacks": {
|
1791 |
+
"EarlyStoppingCallback": {
|
1792 |
+
"args": {
|
1793 |
+
"early_stopping_patience": 5,
|
1794 |
+
"early_stopping_threshold": 0.01
|
1795 |
+
},
|
1796 |
+
"attributes": {
|
1797 |
+
"early_stopping_patience_counter": 0
|
1798 |
+
}
|
1799 |
+
},
|
1800 |
+
"TrainerControl": {
|
1801 |
+
"args": {
|
1802 |
+
"should_epoch_stop": false,
|
1803 |
+
"should_evaluate": false,
|
1804 |
+
"should_log": false,
|
1805 |
+
"should_save": true,
|
1806 |
+
"should_training_stop": true
|
1807 |
+
},
|
1808 |
+
"attributes": {}
|
1809 |
+
}
|
1810 |
+
},
|
1811 |
+
"total_flos": 2.3756905482586214e+18,
|
1812 |
+
"train_batch_size": 8,
|
1813 |
+
"trial_name": null,
|
1814 |
+
"trial_params": null
|
1815 |
+
}
|
checkpoint-3839/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d38ad25aa8e094ec9f61233a3f11b558808fa1d76c3288f7c419d449e0139a38
|
3 |
+
size 5176
|
config.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
3 |
+
"_num_labels": 83,
|
4 |
+
"architectures": [
|
5 |
+
"ViTForImageClassification"
|
6 |
+
],
|
7 |
+
"attention_probs_dropout_prob": 0.0,
|
8 |
+
"encoder_stride": 16,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.0,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "Agnes Skinner",
|
14 |
+
"1": "Alec Baldwin",
|
15 |
+
"2": "Alex Whitney",
|
16 |
+
"3": "Allison Taylor",
|
17 |
+
"4": "Apu Nahasapeemapetilon",
|
18 |
+
"5": "Artie Ziff",
|
19 |
+
"6": "Ashley Grant",
|
20 |
+
"7": "Ballet Teacher",
|
21 |
+
"8": "Barney Gumble",
|
22 |
+
"9": "Bart Simpson",
|
23 |
+
"10": "Bernice Hibbert",
|
24 |
+
"11": "Carl Carlson",
|
25 |
+
"12": "Chief Wiggum",
|
26 |
+
"13": "Cletus Spuckler",
|
27 |
+
"14": "Comic Book Guy",
|
28 |
+
"15": "Dewey Largo",
|
29 |
+
"16": "Doctor Hibbert",
|
30 |
+
"17": "Doctor Nick",
|
31 |
+
"18": "Dolph Starbeam",
|
32 |
+
"19": "Drederick Tatum",
|
33 |
+
"20": "Edna Krabappel",
|
34 |
+
"21": "Fat Tony",
|
35 |
+
"22": "Focus Group Manager",
|
36 |
+
"23": "Gil Gunderson",
|
37 |
+
"24": "Grandpa Simpson",
|
38 |
+
"25": "Groundskeeper Willie",
|
39 |
+
"26": "Hank Scorpio",
|
40 |
+
"27": "Hans Moleman",
|
41 |
+
"28": "Helen Lovejoy",
|
42 |
+
"29": "Homer Simpson",
|
43 |
+
"30": "Jailbird Snake",
|
44 |
+
"31": "Janey Powell",
|
45 |
+
"32": "Jasper Beardsley",
|
46 |
+
"33": "Jessica Lovejoy",
|
47 |
+
"34": "Jimbo Jones",
|
48 |
+
"35": "Kearney Zzyzwicz",
|
49 |
+
"36": "Kent Brockman",
|
50 |
+
"37": "Kim Basinger",
|
51 |
+
"38": "Kirk Van Houten",
|
52 |
+
"39": "Krusty the Clown",
|
53 |
+
"40": "Larry Burns",
|
54 |
+
"41": "Laura Powers",
|
55 |
+
"42": "Lenny Leonard",
|
56 |
+
"43": "Lewis Clark",
|
57 |
+
"44": "Lindsey Naegle",
|
58 |
+
"45": "Lionel Hutz",
|
59 |
+
"46": "Lisa Simpson",
|
60 |
+
"47": "Luann Van Houten",
|
61 |
+
"48": "Maggie Simpson",
|
62 |
+
"49": "Manjula Nahasapeemapetilon",
|
63 |
+
"50": "Marge Simpson",
|
64 |
+
"51": "Martin Prince",
|
65 |
+
"52": "Maude Flanders",
|
66 |
+
"53": "Mayor Quimby",
|
67 |
+
"54": "Milhouse Van Houten",
|
68 |
+
"55": "Mindy Simmons",
|
69 |
+
"56": "Miss Hoover",
|
70 |
+
"57": "Moe Szyslak",
|
71 |
+
"58": "Mr Burns",
|
72 |
+
"59": "Ned Flanders",
|
73 |
+
"60": "Nelson Muntz",
|
74 |
+
"61": "Nerd Database",
|
75 |
+
"62": "Officer Eddie",
|
76 |
+
"63": "Officer Lou",
|
77 |
+
"64": "Otto Mann",
|
78 |
+
"65": "Patty Bouvier",
|
79 |
+
"66": "Principal Skinner",
|
80 |
+
"67": "Professor Frink",
|
81 |
+
"68": "Rainier Wolfcastle",
|
82 |
+
"69": "Ralph Wiggum",
|
83 |
+
"70": "Reverend Lovejoy",
|
84 |
+
"71": "Rod Flanders",
|
85 |
+
"72": "Ruth Powers",
|
86 |
+
"73": "Sea Captian",
|
87 |
+
"74": "Selma Bouvier",
|
88 |
+
"75": "Sherri and Terri",
|
89 |
+
"76": "Sideshow Bob",
|
90 |
+
"77": "Sideshow Mel",
|
91 |
+
"78": "Superintendent Chalmers",
|
92 |
+
"79": "Todd Flanders",
|
93 |
+
"80": "Troy McClure",
|
94 |
+
"81": "Waylon Smithers",
|
95 |
+
"82": "Wendell Borton"
|
96 |
+
},
|
97 |
+
"image_size": 224,
|
98 |
+
"initializer_range": 0.02,
|
99 |
+
"intermediate_size": 3072,
|
100 |
+
"label2id": {
|
101 |
+
"Agnes Skinner": 0,
|
102 |
+
"Alec Baldwin": 1,
|
103 |
+
"Alex Whitney": 2,
|
104 |
+
"Allison Taylor": 3,
|
105 |
+
"Apu Nahasapeemapetilon": 4,
|
106 |
+
"Artie Ziff": 5,
|
107 |
+
"Ashley Grant": 6,
|
108 |
+
"Ballet Teacher": 7,
|
109 |
+
"Barney Gumble": 8,
|
110 |
+
"Bart Simpson": 9,
|
111 |
+
"Bernice Hibbert": 10,
|
112 |
+
"Carl Carlson": 11,
|
113 |
+
"Chief Wiggum": 12,
|
114 |
+
"Cletus Spuckler": 13,
|
115 |
+
"Comic Book Guy": 14,
|
116 |
+
"Dewey Largo": 15,
|
117 |
+
"Doctor Hibbert": 16,
|
118 |
+
"Doctor Nick": 17,
|
119 |
+
"Dolph Starbeam": 18,
|
120 |
+
"Drederick Tatum": 19,
|
121 |
+
"Edna Krabappel": 20,
|
122 |
+
"Fat Tony": 21,
|
123 |
+
"Focus Group Manager": 22,
|
124 |
+
"Gil Gunderson": 23,
|
125 |
+
"Grandpa Simpson": 24,
|
126 |
+
"Groundskeeper Willie": 25,
|
127 |
+
"Hank Scorpio": 26,
|
128 |
+
"Hans Moleman": 27,
|
129 |
+
"Helen Lovejoy": 28,
|
130 |
+
"Homer Simpson": 29,
|
131 |
+
"Jailbird Snake": 30,
|
132 |
+
"Janey Powell": 31,
|
133 |
+
"Jasper Beardsley": 32,
|
134 |
+
"Jessica Lovejoy": 33,
|
135 |
+
"Jimbo Jones": 34,
|
136 |
+
"Kearney Zzyzwicz": 35,
|
137 |
+
"Kent Brockman": 36,
|
138 |
+
"Kim Basinger": 37,
|
139 |
+
"Kirk Van Houten": 38,
|
140 |
+
"Krusty the Clown": 39,
|
141 |
+
"Larry Burns": 40,
|
142 |
+
"Laura Powers": 41,
|
143 |
+
"Lenny Leonard": 42,
|
144 |
+
"Lewis Clark": 43,
|
145 |
+
"Lindsey Naegle": 44,
|
146 |
+
"Lionel Hutz": 45,
|
147 |
+
"Lisa Simpson": 46,
|
148 |
+
"Luann Van Houten": 47,
|
149 |
+
"Maggie Simpson": 48,
|
150 |
+
"Manjula Nahasapeemapetilon": 49,
|
151 |
+
"Marge Simpson": 50,
|
152 |
+
"Martin Prince": 51,
|
153 |
+
"Maude Flanders": 52,
|
154 |
+
"Mayor Quimby": 53,
|
155 |
+
"Milhouse Van Houten": 54,
|
156 |
+
"Mindy Simmons": 55,
|
157 |
+
"Miss Hoover": 56,
|
158 |
+
"Moe Szyslak": 57,
|
159 |
+
"Mr Burns": 58,
|
160 |
+
"Ned Flanders": 59,
|
161 |
+
"Nelson Muntz": 60,
|
162 |
+
"Nerd Database": 61,
|
163 |
+
"Officer Eddie": 62,
|
164 |
+
"Officer Lou": 63,
|
165 |
+
"Otto Mann": 64,
|
166 |
+
"Patty Bouvier": 65,
|
167 |
+
"Principal Skinner": 66,
|
168 |
+
"Professor Frink": 67,
|
169 |
+
"Rainier Wolfcastle": 68,
|
170 |
+
"Ralph Wiggum": 69,
|
171 |
+
"Reverend Lovejoy": 70,
|
172 |
+
"Rod Flanders": 71,
|
173 |
+
"Ruth Powers": 72,
|
174 |
+
"Sea Captian": 73,
|
175 |
+
"Selma Bouvier": 74,
|
176 |
+
"Sherri and Terri": 75,
|
177 |
+
"Sideshow Bob": 76,
|
178 |
+
"Sideshow Mel": 77,
|
179 |
+
"Superintendent Chalmers": 78,
|
180 |
+
"Todd Flanders": 79,
|
181 |
+
"Troy McClure": 80,
|
182 |
+
"Waylon Smithers": 81,
|
183 |
+
"Wendell Borton": 82
|
184 |
+
},
|
185 |
+
"layer_norm_eps": 1e-12,
|
186 |
+
"model_type": "vit",
|
187 |
+
"num_attention_heads": 12,
|
188 |
+
"num_channels": 3,
|
189 |
+
"num_hidden_layers": 12,
|
190 |
+
"patch_size": 16,
|
191 |
+
"problem_type": "single_label_classification",
|
192 |
+
"qkv_bias": true,
|
193 |
+
"torch_dtype": "float32",
|
194 |
+
"transformers_version": "4.41.0"
|
195 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:68313e8f772280708ca9f54261e838fd8237b2d20f4e82079e5e2b5ef3bed02f
|
3 |
+
size 343473140
|
preprocessor_config.json
ADDED
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_valid_processor_keys": [
|
3 |
+
"images",
|
4 |
+
"do_resize",
|
5 |
+
"size",
|
6 |
+
"resample",
|
7 |
+
"do_rescale",
|
8 |
+
"rescale_factor",
|
9 |
+
"do_normalize",
|
10 |
+
"image_mean",
|
11 |
+
"image_std",
|
12 |
+
"return_tensors",
|
13 |
+
"data_format",
|
14 |
+
"input_data_format"
|
15 |
+
],
|
16 |
+
"do_normalize": true,
|
17 |
+
"do_rescale": true,
|
18 |
+
"do_resize": true,
|
19 |
+
"image_mean": [
|
20 |
+
0.5,
|
21 |
+
0.5,
|
22 |
+
0.5
|
23 |
+
],
|
24 |
+
"image_processor_type": "ViTImageProcessor",
|
25 |
+
"image_std": [
|
26 |
+
0.5,
|
27 |
+
0.5,
|
28 |
+
0.5
|
29 |
+
],
|
30 |
+
"resample": 2,
|
31 |
+
"rescale_factor": 0.00392156862745098,
|
32 |
+
"size": {
|
33 |
+
"height": 224,
|
34 |
+
"width": 224
|
35 |
+
}
|
36 |
+
}
|
runs/May28_16-03-03_r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv/events.out.tfevents.1716912184.r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv.159.0
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:418e0a7a6447f24ccc2c7201f6742127bb6a48564540bfdf87de1d6ddce6a7fb
|
3 |
+
size 66162
|
runs/May28_16-03-03_r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv/events.out.tfevents.1716912712.r-rileybol-simpsons-classifier-pod0heps-7433c-xsamv.159.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:95e8c27d8b4d688dcf19d563085f40ec0c1a31bd953dabfdcd4647b729fbb46a
|
3 |
+
size 921
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d38ad25aa8e094ec9f61233a3f11b558808fa1d76c3288f7c419d449e0139a38
|
3 |
+
size 5176
|
training_params.json
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"data_path": "autotrain-mb2mv-qdf75/autotrain-data",
|
3 |
+
"model": "google/vit-base-patch16-224",
|
4 |
+
"username": "rileybol",
|
5 |
+
"lr": 5e-05,
|
6 |
+
"epochs": 12,
|
7 |
+
"batch_size": 8,
|
8 |
+
"warmup_ratio": 0.1,
|
9 |
+
"gradient_accumulation": 1,
|
10 |
+
"optimizer": "adamw_torch",
|
11 |
+
"scheduler": "linear",
|
12 |
+
"weight_decay": 0.0,
|
13 |
+
"max_grad_norm": 1.0,
|
14 |
+
"seed": 42,
|
15 |
+
"train_split": "train",
|
16 |
+
"valid_split": "validation",
|
17 |
+
"logging_steps": -1,
|
18 |
+
"project_name": "autotrain-mb2mv-qdf75",
|
19 |
+
"auto_find_batch_size": false,
|
20 |
+
"mixed_precision": "fp16",
|
21 |
+
"save_total_limit": 1,
|
22 |
+
"push_to_hub": true,
|
23 |
+
"evaluation_strategy": "epoch",
|
24 |
+
"image_column": "autotrain_image",
|
25 |
+
"target_column": "autotrain_label",
|
26 |
+
"log": "tensorboard",
|
27 |
+
"early_stopping_patience": 5,
|
28 |
+
"early_stopping_threshold": 0.01
|
29 |
+
}
|