Training in progress, step 3000
Browse files- checkpoint-3000/config.json +42 -0
- checkpoint-3000/optimizer.pt +3 -0
- checkpoint-3000/preprocessor_config.json +0 -0
- checkpoint-3000/pytorch_model.bin +3 -0
- checkpoint-3000/rng_state.pth +3 -0
- checkpoint-3000/scaler.pt +3 -0
- checkpoint-3000/scheduler.pt +3 -0
- checkpoint-3000/trainer_state.json +763 -0
- checkpoint-3000/training_args.bin +3 -0
- pytorch_model.bin +1 -1
- runs/Dec11_19-07-15_b962dd2deff6/1670785884.5612047/events.out.tfevents.1670785884.b962dd2deff6.75.1 +3 -0
- runs/Dec11_19-07-15_b962dd2deff6/events.out.tfevents.1670785884.b962dd2deff6.75.0 +3 -0
- training_args.bin +1 -1
checkpoint-3000/config.json
ADDED
@@ -0,0 +1,42 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai/whisper-small",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "gelu",
|
5 |
+
"architectures": [
|
6 |
+
"WhisperForConditionalGeneration"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.0,
|
9 |
+
"begin_suppress_tokens": [
|
10 |
+
220,
|
11 |
+
50257
|
12 |
+
],
|
13 |
+
"bos_token_id": 50257,
|
14 |
+
"d_model": 768,
|
15 |
+
"decoder_attention_heads": 12,
|
16 |
+
"decoder_ffn_dim": 3072,
|
17 |
+
"decoder_layerdrop": 0.0,
|
18 |
+
"decoder_layers": 12,
|
19 |
+
"decoder_start_token_id": 50258,
|
20 |
+
"dropout": 0.0,
|
21 |
+
"encoder_attention_heads": 12,
|
22 |
+
"encoder_ffn_dim": 3072,
|
23 |
+
"encoder_layerdrop": 0.0,
|
24 |
+
"encoder_layers": 12,
|
25 |
+
"eos_token_id": 50257,
|
26 |
+
"forced_decoder_ids": null,
|
27 |
+
"init_std": 0.02,
|
28 |
+
"is_encoder_decoder": true,
|
29 |
+
"max_length": 448,
|
30 |
+
"max_source_positions": 1500,
|
31 |
+
"max_target_positions": 448,
|
32 |
+
"model_type": "whisper",
|
33 |
+
"num_hidden_layers": 12,
|
34 |
+
"num_mel_bins": 80,
|
35 |
+
"pad_token_id": 50257,
|
36 |
+
"scale_embedding": false,
|
37 |
+
"suppress_tokens": [],
|
38 |
+
"torch_dtype": "float32",
|
39 |
+
"transformers_version": "4.26.0.dev0",
|
40 |
+
"use_cache": false,
|
41 |
+
"vocab_size": 51865
|
42 |
+
}
|
checkpoint-3000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3122e17ed3d1936e52eb49131e52ca88b3923ac6022fa7e8fc93e7557bf8b74a
|
3 |
+
size 1934161093
|
checkpoint-3000/preprocessor_config.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-3000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:318fc30e2eb48e51146dd963541afd59c7e79a1a57f094eec0991a839d1d2ec8
|
3 |
+
size 967102601
|
checkpoint-3000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c79cd3cfd866585a5cd08d7c7690d89bddd6b4a60abf9e352967b72d80320977
|
3 |
+
size 14575
|
checkpoint-3000/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2ec9feb0f78b9af55c8d3da1e9b2f9c3f0e064df466379c94e97c1e0b5c64a34
|
3 |
+
size 557
|
checkpoint-3000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:84cc8f04c8e920d8deac39f5831b6aad20d20df1fe9ab53bdecb14855d3b955f
|
3 |
+
size 627
|
checkpoint-3000/trainer_state.json
ADDED
@@ -0,0 +1,763 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 19.186699618063358,
|
3 |
+
"best_model_checkpoint": "./whisper-small-sv-en/checkpoint-3000",
|
4 |
+
"epoch": 3.8809831824062098,
|
5 |
+
"global_step": 3000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"learning_rate": 4.2000000000000006e-07,
|
13 |
+
"loss": 4.8208,
|
14 |
+
"step": 25
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.06,
|
18 |
+
"learning_rate": 9.200000000000001e-07,
|
19 |
+
"loss": 3.8662,
|
20 |
+
"step": 50
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.1,
|
24 |
+
"learning_rate": 1.42e-06,
|
25 |
+
"loss": 2.7859,
|
26 |
+
"step": 75
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.13,
|
30 |
+
"learning_rate": 1.9200000000000003e-06,
|
31 |
+
"loss": 1.7098,
|
32 |
+
"step": 100
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.16,
|
36 |
+
"learning_rate": 2.42e-06,
|
37 |
+
"loss": 1.197,
|
38 |
+
"step": 125
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.19,
|
42 |
+
"learning_rate": 2.92e-06,
|
43 |
+
"loss": 1.0401,
|
44 |
+
"step": 150
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.23,
|
48 |
+
"learning_rate": 3.4200000000000007e-06,
|
49 |
+
"loss": 0.9443,
|
50 |
+
"step": 175
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.26,
|
54 |
+
"learning_rate": 3.920000000000001e-06,
|
55 |
+
"loss": 0.8663,
|
56 |
+
"step": 200
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.29,
|
60 |
+
"learning_rate": 4.42e-06,
|
61 |
+
"loss": 0.7198,
|
62 |
+
"step": 225
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.32,
|
66 |
+
"learning_rate": 4.92e-06,
|
67 |
+
"loss": 0.6317,
|
68 |
+
"step": 250
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.36,
|
72 |
+
"learning_rate": 5.420000000000001e-06,
|
73 |
+
"loss": 0.509,
|
74 |
+
"step": 275
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.39,
|
78 |
+
"learning_rate": 5.92e-06,
|
79 |
+
"loss": 0.3145,
|
80 |
+
"step": 300
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.42,
|
84 |
+
"learning_rate": 6.42e-06,
|
85 |
+
"loss": 0.3392,
|
86 |
+
"step": 325
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.45,
|
90 |
+
"learning_rate": 6.92e-06,
|
91 |
+
"loss": 0.2963,
|
92 |
+
"step": 350
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.49,
|
96 |
+
"learning_rate": 7.420000000000001e-06,
|
97 |
+
"loss": 0.3166,
|
98 |
+
"step": 375
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.52,
|
102 |
+
"learning_rate": 7.92e-06,
|
103 |
+
"loss": 0.3222,
|
104 |
+
"step": 400
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.55,
|
108 |
+
"learning_rate": 8.42e-06,
|
109 |
+
"loss": 0.3137,
|
110 |
+
"step": 425
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.58,
|
114 |
+
"learning_rate": 8.920000000000001e-06,
|
115 |
+
"loss": 0.305,
|
116 |
+
"step": 450
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.61,
|
120 |
+
"learning_rate": 9.42e-06,
|
121 |
+
"loss": 0.2771,
|
122 |
+
"step": 475
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.65,
|
126 |
+
"learning_rate": 9.920000000000002e-06,
|
127 |
+
"loss": 0.3114,
|
128 |
+
"step": 500
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.68,
|
132 |
+
"learning_rate": 9.940000000000001e-06,
|
133 |
+
"loss": 0.2985,
|
134 |
+
"step": 525
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.71,
|
138 |
+
"learning_rate": 9.86857142857143e-06,
|
139 |
+
"loss": 0.2943,
|
140 |
+
"step": 550
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.74,
|
144 |
+
"learning_rate": 9.797142857142858e-06,
|
145 |
+
"loss": 0.3044,
|
146 |
+
"step": 575
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.78,
|
150 |
+
"learning_rate": 9.725714285714287e-06,
|
151 |
+
"loss": 0.3105,
|
152 |
+
"step": 600
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.81,
|
156 |
+
"learning_rate": 9.654285714285716e-06,
|
157 |
+
"loss": 0.2937,
|
158 |
+
"step": 625
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.84,
|
162 |
+
"learning_rate": 9.582857142857143e-06,
|
163 |
+
"loss": 0.3074,
|
164 |
+
"step": 650
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.87,
|
168 |
+
"learning_rate": 9.511428571428572e-06,
|
169 |
+
"loss": 0.274,
|
170 |
+
"step": 675
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.91,
|
174 |
+
"learning_rate": 9.440000000000001e-06,
|
175 |
+
"loss": 0.2884,
|
176 |
+
"step": 700
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.94,
|
180 |
+
"learning_rate": 9.368571428571428e-06,
|
181 |
+
"loss": 0.292,
|
182 |
+
"step": 725
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.97,
|
186 |
+
"learning_rate": 9.297142857142857e-06,
|
187 |
+
"loss": 0.286,
|
188 |
+
"step": 750
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 1.0,
|
192 |
+
"learning_rate": 9.225714285714286e-06,
|
193 |
+
"loss": 0.2801,
|
194 |
+
"step": 775
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 1.03,
|
198 |
+
"learning_rate": 9.154285714285715e-06,
|
199 |
+
"loss": 0.1413,
|
200 |
+
"step": 800
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 1.07,
|
204 |
+
"learning_rate": 9.082857142857143e-06,
|
205 |
+
"loss": 0.1485,
|
206 |
+
"step": 825
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 1.1,
|
210 |
+
"learning_rate": 9.011428571428572e-06,
|
211 |
+
"loss": 0.1515,
|
212 |
+
"step": 850
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 1.13,
|
216 |
+
"learning_rate": 8.94e-06,
|
217 |
+
"loss": 0.1314,
|
218 |
+
"step": 875
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 1.16,
|
222 |
+
"learning_rate": 8.86857142857143e-06,
|
223 |
+
"loss": 0.1528,
|
224 |
+
"step": 900
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 1.2,
|
228 |
+
"learning_rate": 8.797142857142857e-06,
|
229 |
+
"loss": 0.1579,
|
230 |
+
"step": 925
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 1.23,
|
234 |
+
"learning_rate": 8.725714285714286e-06,
|
235 |
+
"loss": 0.1537,
|
236 |
+
"step": 950
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 1.26,
|
240 |
+
"learning_rate": 8.654285714285715e-06,
|
241 |
+
"loss": 0.1498,
|
242 |
+
"step": 975
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 1.29,
|
246 |
+
"learning_rate": 8.582857142857144e-06,
|
247 |
+
"loss": 0.1398,
|
248 |
+
"step": 1000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 1.29,
|
252 |
+
"eval_loss": 0.2894088923931122,
|
253 |
+
"eval_runtime": 2356.7832,
|
254 |
+
"eval_samples_per_second": 1.273,
|
255 |
+
"eval_steps_per_second": 0.159,
|
256 |
+
"eval_wer": 21.154796674904517,
|
257 |
+
"step": 1000
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 1.33,
|
261 |
+
"learning_rate": 8.511428571428571e-06,
|
262 |
+
"loss": 0.1565,
|
263 |
+
"step": 1025
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 1.36,
|
267 |
+
"learning_rate": 8.44e-06,
|
268 |
+
"loss": 0.1416,
|
269 |
+
"step": 1050
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 1.39,
|
273 |
+
"learning_rate": 8.36857142857143e-06,
|
274 |
+
"loss": 0.1397,
|
275 |
+
"step": 1075
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 1.42,
|
279 |
+
"learning_rate": 8.297142857142859e-06,
|
280 |
+
"loss": 0.1514,
|
281 |
+
"step": 1100
|
282 |
+
},
|
283 |
+
{
|
284 |
+
"epoch": 1.46,
|
285 |
+
"learning_rate": 8.225714285714288e-06,
|
286 |
+
"loss": 0.1418,
|
287 |
+
"step": 1125
|
288 |
+
},
|
289 |
+
{
|
290 |
+
"epoch": 1.49,
|
291 |
+
"learning_rate": 8.154285714285715e-06,
|
292 |
+
"loss": 0.1448,
|
293 |
+
"step": 1150
|
294 |
+
},
|
295 |
+
{
|
296 |
+
"epoch": 1.52,
|
297 |
+
"learning_rate": 8.082857142857144e-06,
|
298 |
+
"loss": 0.141,
|
299 |
+
"step": 1175
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 1.55,
|
303 |
+
"learning_rate": 8.011428571428573e-06,
|
304 |
+
"loss": 0.1558,
|
305 |
+
"step": 1200
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.58,
|
309 |
+
"learning_rate": 7.94e-06,
|
310 |
+
"loss": 0.1413,
|
311 |
+
"step": 1225
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 1.62,
|
315 |
+
"learning_rate": 7.86857142857143e-06,
|
316 |
+
"loss": 0.1337,
|
317 |
+
"step": 1250
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 1.65,
|
321 |
+
"learning_rate": 7.797142857142858e-06,
|
322 |
+
"loss": 0.1434,
|
323 |
+
"step": 1275
|
324 |
+
},
|
325 |
+
{
|
326 |
+
"epoch": 1.68,
|
327 |
+
"learning_rate": 7.725714285714286e-06,
|
328 |
+
"loss": 0.1314,
|
329 |
+
"step": 1300
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.71,
|
333 |
+
"learning_rate": 7.654285714285715e-06,
|
334 |
+
"loss": 0.1465,
|
335 |
+
"step": 1325
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.75,
|
339 |
+
"learning_rate": 7.5828571428571444e-06,
|
340 |
+
"loss": 0.1267,
|
341 |
+
"step": 1350
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"epoch": 1.78,
|
345 |
+
"learning_rate": 7.511428571428572e-06,
|
346 |
+
"loss": 0.1541,
|
347 |
+
"step": 1375
|
348 |
+
},
|
349 |
+
{
|
350 |
+
"epoch": 1.81,
|
351 |
+
"learning_rate": 7.440000000000001e-06,
|
352 |
+
"loss": 0.14,
|
353 |
+
"step": 1400
|
354 |
+
},
|
355 |
+
{
|
356 |
+
"epoch": 1.84,
|
357 |
+
"learning_rate": 7.36857142857143e-06,
|
358 |
+
"loss": 0.1309,
|
359 |
+
"step": 1425
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.88,
|
363 |
+
"learning_rate": 7.297142857142858e-06,
|
364 |
+
"loss": 0.1262,
|
365 |
+
"step": 1450
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 1.91,
|
369 |
+
"learning_rate": 7.225714285714286e-06,
|
370 |
+
"loss": 0.1466,
|
371 |
+
"step": 1475
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"epoch": 1.94,
|
375 |
+
"learning_rate": 7.154285714285715e-06,
|
376 |
+
"loss": 0.1336,
|
377 |
+
"step": 1500
|
378 |
+
},
|
379 |
+
{
|
380 |
+
"epoch": 1.97,
|
381 |
+
"learning_rate": 7.082857142857143e-06,
|
382 |
+
"loss": 0.145,
|
383 |
+
"step": 1525
|
384 |
+
},
|
385 |
+
{
|
386 |
+
"epoch": 2.01,
|
387 |
+
"learning_rate": 7.011428571428572e-06,
|
388 |
+
"loss": 0.1124,
|
389 |
+
"step": 1550
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 2.04,
|
393 |
+
"learning_rate": 6.9400000000000005e-06,
|
394 |
+
"loss": 0.0503,
|
395 |
+
"step": 1575
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 2.07,
|
399 |
+
"learning_rate": 6.868571428571429e-06,
|
400 |
+
"loss": 0.0518,
|
401 |
+
"step": 1600
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 2.1,
|
405 |
+
"learning_rate": 6.797142857142858e-06,
|
406 |
+
"loss": 0.0553,
|
407 |
+
"step": 1625
|
408 |
+
},
|
409 |
+
{
|
410 |
+
"epoch": 2.13,
|
411 |
+
"learning_rate": 6.725714285714287e-06,
|
412 |
+
"loss": 0.0553,
|
413 |
+
"step": 1650
|
414 |
+
},
|
415 |
+
{
|
416 |
+
"epoch": 2.17,
|
417 |
+
"learning_rate": 6.654285714285716e-06,
|
418 |
+
"loss": 0.0578,
|
419 |
+
"step": 1675
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 2.2,
|
423 |
+
"learning_rate": 6.582857142857143e-06,
|
424 |
+
"loss": 0.0576,
|
425 |
+
"step": 1700
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 2.23,
|
429 |
+
"learning_rate": 6.511428571428572e-06,
|
430 |
+
"loss": 0.0509,
|
431 |
+
"step": 1725
|
432 |
+
},
|
433 |
+
{
|
434 |
+
"epoch": 2.26,
|
435 |
+
"learning_rate": 6.440000000000001e-06,
|
436 |
+
"loss": 0.0525,
|
437 |
+
"step": 1750
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 2.3,
|
441 |
+
"learning_rate": 6.368571428571429e-06,
|
442 |
+
"loss": 0.0548,
|
443 |
+
"step": 1775
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 2.33,
|
447 |
+
"learning_rate": 6.297142857142857e-06,
|
448 |
+
"loss": 0.0479,
|
449 |
+
"step": 1800
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 2.36,
|
453 |
+
"learning_rate": 6.225714285714286e-06,
|
454 |
+
"loss": 0.0538,
|
455 |
+
"step": 1825
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 2.39,
|
459 |
+
"learning_rate": 6.1542857142857145e-06,
|
460 |
+
"loss": 0.0528,
|
461 |
+
"step": 1850
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 2.43,
|
465 |
+
"learning_rate": 6.0828571428571435e-06,
|
466 |
+
"loss": 0.0532,
|
467 |
+
"step": 1875
|
468 |
+
},
|
469 |
+
{
|
470 |
+
"epoch": 2.46,
|
471 |
+
"learning_rate": 6.011428571428572e-06,
|
472 |
+
"loss": 0.0492,
|
473 |
+
"step": 1900
|
474 |
+
},
|
475 |
+
{
|
476 |
+
"epoch": 2.49,
|
477 |
+
"learning_rate": 5.94e-06,
|
478 |
+
"loss": 0.0527,
|
479 |
+
"step": 1925
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 2.52,
|
483 |
+
"learning_rate": 5.868571428571429e-06,
|
484 |
+
"loss": 0.0463,
|
485 |
+
"step": 1950
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 2.55,
|
489 |
+
"learning_rate": 5.797142857142858e-06,
|
490 |
+
"loss": 0.051,
|
491 |
+
"step": 1975
|
492 |
+
},
|
493 |
+
{
|
494 |
+
"epoch": 2.59,
|
495 |
+
"learning_rate": 5.725714285714287e-06,
|
496 |
+
"loss": 0.0476,
|
497 |
+
"step": 2000
|
498 |
+
},
|
499 |
+
{
|
500 |
+
"epoch": 2.59,
|
501 |
+
"eval_loss": 0.28524845838546753,
|
502 |
+
"eval_runtime": 2654.5637,
|
503 |
+
"eval_samples_per_second": 1.13,
|
504 |
+
"eval_steps_per_second": 0.141,
|
505 |
+
"eval_wer": 19.829251853516062,
|
506 |
+
"step": 2000
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 2.62,
|
510 |
+
"learning_rate": 5.654285714285714e-06,
|
511 |
+
"loss": 0.0456,
|
512 |
+
"step": 2025
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 2.65,
|
516 |
+
"learning_rate": 5.582857142857143e-06,
|
517 |
+
"loss": 0.0525,
|
518 |
+
"step": 2050
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 2.68,
|
522 |
+
"learning_rate": 5.511428571428572e-06,
|
523 |
+
"loss": 0.0506,
|
524 |
+
"step": 2075
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 2.72,
|
528 |
+
"learning_rate": 5.4400000000000004e-06,
|
529 |
+
"loss": 0.0557,
|
530 |
+
"step": 2100
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 2.75,
|
534 |
+
"learning_rate": 5.368571428571429e-06,
|
535 |
+
"loss": 0.057,
|
536 |
+
"step": 2125
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 2.78,
|
540 |
+
"learning_rate": 5.297142857142858e-06,
|
541 |
+
"loss": 0.0572,
|
542 |
+
"step": 2150
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 2.81,
|
546 |
+
"learning_rate": 5.225714285714286e-06,
|
547 |
+
"loss": 0.0445,
|
548 |
+
"step": 2175
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 2.85,
|
552 |
+
"learning_rate": 5.154285714285715e-06,
|
553 |
+
"loss": 0.0552,
|
554 |
+
"step": 2200
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 2.88,
|
558 |
+
"learning_rate": 5.082857142857144e-06,
|
559 |
+
"loss": 0.0511,
|
560 |
+
"step": 2225
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 2.91,
|
564 |
+
"learning_rate": 5.011428571428571e-06,
|
565 |
+
"loss": 0.0455,
|
566 |
+
"step": 2250
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 2.94,
|
570 |
+
"learning_rate": 4.94e-06,
|
571 |
+
"loss": 0.0559,
|
572 |
+
"step": 2275
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 2.98,
|
576 |
+
"learning_rate": 4.868571428571429e-06,
|
577 |
+
"loss": 0.0493,
|
578 |
+
"step": 2300
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 3.01,
|
582 |
+
"learning_rate": 4.797142857142857e-06,
|
583 |
+
"loss": 0.05,
|
584 |
+
"step": 2325
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 3.04,
|
588 |
+
"learning_rate": 4.725714285714286e-06,
|
589 |
+
"loss": 0.0214,
|
590 |
+
"step": 2350
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 3.07,
|
594 |
+
"learning_rate": 4.6542857142857145e-06,
|
595 |
+
"loss": 0.0244,
|
596 |
+
"step": 2375
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 3.1,
|
600 |
+
"learning_rate": 4.5828571428571435e-06,
|
601 |
+
"loss": 0.0209,
|
602 |
+
"step": 2400
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 3.14,
|
606 |
+
"learning_rate": 4.511428571428572e-06,
|
607 |
+
"loss": 0.0224,
|
608 |
+
"step": 2425
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 3.17,
|
612 |
+
"learning_rate": 4.440000000000001e-06,
|
613 |
+
"loss": 0.0253,
|
614 |
+
"step": 2450
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 3.2,
|
618 |
+
"learning_rate": 4.368571428571429e-06,
|
619 |
+
"loss": 0.0228,
|
620 |
+
"step": 2475
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 3.23,
|
624 |
+
"learning_rate": 4.297142857142858e-06,
|
625 |
+
"loss": 0.0232,
|
626 |
+
"step": 2500
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 3.27,
|
630 |
+
"learning_rate": 4.225714285714286e-06,
|
631 |
+
"loss": 0.02,
|
632 |
+
"step": 2525
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 3.3,
|
636 |
+
"learning_rate": 4.154285714285714e-06,
|
637 |
+
"loss": 0.0214,
|
638 |
+
"step": 2550
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 3.33,
|
642 |
+
"learning_rate": 4.082857142857143e-06,
|
643 |
+
"loss": 0.0201,
|
644 |
+
"step": 2575
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 3.36,
|
648 |
+
"learning_rate": 4.011428571428571e-06,
|
649 |
+
"loss": 0.0178,
|
650 |
+
"step": 2600
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 3.4,
|
654 |
+
"learning_rate": 3.94e-06,
|
655 |
+
"loss": 0.0221,
|
656 |
+
"step": 2625
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 3.43,
|
660 |
+
"learning_rate": 3.8685714285714286e-06,
|
661 |
+
"loss": 0.0199,
|
662 |
+
"step": 2650
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 3.46,
|
666 |
+
"learning_rate": 3.7971428571428576e-06,
|
667 |
+
"loss": 0.0182,
|
668 |
+
"step": 2675
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 3.49,
|
672 |
+
"learning_rate": 3.7257142857142857e-06,
|
673 |
+
"loss": 0.0197,
|
674 |
+
"step": 2700
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 3.53,
|
678 |
+
"learning_rate": 3.6542857142857148e-06,
|
679 |
+
"loss": 0.0213,
|
680 |
+
"step": 2725
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 3.56,
|
684 |
+
"learning_rate": 3.582857142857143e-06,
|
685 |
+
"loss": 0.0212,
|
686 |
+
"step": 2750
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 3.59,
|
690 |
+
"learning_rate": 3.511428571428572e-06,
|
691 |
+
"loss": 0.0195,
|
692 |
+
"step": 2775
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 3.62,
|
696 |
+
"learning_rate": 3.44e-06,
|
697 |
+
"loss": 0.019,
|
698 |
+
"step": 2800
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 3.65,
|
702 |
+
"learning_rate": 3.3685714285714287e-06,
|
703 |
+
"loss": 0.019,
|
704 |
+
"step": 2825
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 3.69,
|
708 |
+
"learning_rate": 3.2971428571428577e-06,
|
709 |
+
"loss": 0.0221,
|
710 |
+
"step": 2850
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 3.72,
|
714 |
+
"learning_rate": 3.225714285714286e-06,
|
715 |
+
"loss": 0.0207,
|
716 |
+
"step": 2875
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 3.75,
|
720 |
+
"learning_rate": 3.154285714285715e-06,
|
721 |
+
"loss": 0.0228,
|
722 |
+
"step": 2900
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 3.78,
|
726 |
+
"learning_rate": 3.082857142857143e-06,
|
727 |
+
"loss": 0.0201,
|
728 |
+
"step": 2925
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 3.82,
|
732 |
+
"learning_rate": 3.0114285714285716e-06,
|
733 |
+
"loss": 0.0199,
|
734 |
+
"step": 2950
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 3.85,
|
738 |
+
"learning_rate": 2.9400000000000002e-06,
|
739 |
+
"loss": 0.0198,
|
740 |
+
"step": 2975
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 3.88,
|
744 |
+
"learning_rate": 2.868571428571429e-06,
|
745 |
+
"loss": 0.019,
|
746 |
+
"step": 3000
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 3.88,
|
750 |
+
"eval_loss": 0.2968597114086151,
|
751 |
+
"eval_runtime": 2272.5975,
|
752 |
+
"eval_samples_per_second": 1.32,
|
753 |
+
"eval_steps_per_second": 0.165,
|
754 |
+
"eval_wer": 19.186699618063358,
|
755 |
+
"step": 3000
|
756 |
+
}
|
757 |
+
],
|
758 |
+
"max_steps": 4000,
|
759 |
+
"num_train_epochs": 6,
|
760 |
+
"total_flos": 1.384517316575232e+19,
|
761 |
+
"trial_name": null,
|
762 |
+
"trial_params": null
|
763 |
+
}
|
checkpoint-3000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7789ecb9c74cba7752e374260f34b76142c67120fe40a080def8bb1acc2f1c68
|
3 |
+
size 3643
|
pytorch_model.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 967102601
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:318fc30e2eb48e51146dd963541afd59c7e79a1a57f094eec0991a839d1d2ec8
|
3 |
size 967102601
|
runs/Dec11_19-07-15_b962dd2deff6/1670785884.5612047/events.out.tfevents.1670785884.b962dd2deff6.75.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:02fba1393ee0113b42e642d912f1172e13ed0c8530e82acb5a08b5e5cf7ce548
|
3 |
+
size 5947
|
runs/Dec11_19-07-15_b962dd2deff6/events.out.tfevents.1670785884.b962dd2deff6.75.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:54be9ef7da8c2fbccacc862e9433ac7a6960b1136b38b3fe3d528d2ebd86c42a
|
3 |
+
size 10970
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 3643
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7789ecb9c74cba7752e374260f34b76142c67120fe40a080def8bb1acc2f1c68
|
3 |
size 3643
|