danielrcardenas
commited on
Commit
•
5014a75
1
Parent(s):
e80467c
Compatibile model codeparrot-small for code rationales (#1)
Browse files- Compatibile model codeparrot-small for code rationales (806fe9fe4264b9f59fec340f1851163cf72ec3af)
- config.json +40 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +828 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,40 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "codeparrot/codeparrot-small",
|
3 |
+
"activation_function": "gelu_new",
|
4 |
+
"architectures": [
|
5 |
+
"GPT2LMHeadModel"
|
6 |
+
],
|
7 |
+
"attn_pdrop": 0.1,
|
8 |
+
"bos_token_id": 50256,
|
9 |
+
"embd_pdrop": 0.1,
|
10 |
+
"eos_token_id": 50256,
|
11 |
+
"gradient_checkpointing": false,
|
12 |
+
"initializer_range": 0.02,
|
13 |
+
"layer_norm_epsilon": 1e-05,
|
14 |
+
"model_type": "gpt2",
|
15 |
+
"n_ctx": 1024,
|
16 |
+
"n_embd": 768,
|
17 |
+
"n_head": 12,
|
18 |
+
"n_inner": null,
|
19 |
+
"n_layer": 12,
|
20 |
+
"n_positions": 1024,
|
21 |
+
"reorder_and_upcast_attn": true,
|
22 |
+
"resid_pdrop": 0.1,
|
23 |
+
"scale_attn_by_inverse_layer_idx": true,
|
24 |
+
"scale_attn_weights": true,
|
25 |
+
"summary_activation": null,
|
26 |
+
"summary_first_dropout": 0.1,
|
27 |
+
"summary_proj_to_labels": true,
|
28 |
+
"summary_type": "cls_index",
|
29 |
+
"summary_use_proj": true,
|
30 |
+
"task_specific_params": {
|
31 |
+
"text-generation": {
|
32 |
+
"do_sample": true,
|
33 |
+
"max_length": 50
|
34 |
+
}
|
35 |
+
},
|
36 |
+
"torch_dtype": "float32",
|
37 |
+
"transformers_version": "4.11.0.dev0",
|
38 |
+
"use_cache": true,
|
39 |
+
"vocab_size": 32768
|
40 |
+
}
|
merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ac06e1f8beb15229a24ed8a35eb084d4a0875056c261c86ffd77250d1c2edbfb
|
3 |
+
size 888151601
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5747a4feaf520dceb413fba771307a1746a925a050ef16e780e388c3b424df53
|
3 |
+
size 456677609
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9e052b9a832ca9c86b049e34fb5cb7f6b8d8e4010d43a288c69c03e54c04091b
|
3 |
+
size 14503
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:95e902b248717ad1661f70606acf9e135032cc0946468749ebf3a54435035614
|
3 |
+
size 623
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "codeparrot/codeparrot-small", "tokenizer_class": "GPT2Tokenizer"}
|
trainer_state.json
ADDED
@@ -0,0 +1,828 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.002146082027547257,
|
5 |
+
"global_step": 29000,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.0,
|
12 |
+
"learning_rate": 5e-05,
|
13 |
+
"loss": 2.6876,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.0,
|
18 |
+
"eval_loss": 1.4209991693496704,
|
19 |
+
"eval_runtime": 29774.1937,
|
20 |
+
"eval_samples_per_second": 24.175,
|
21 |
+
"eval_steps_per_second": 6.044,
|
22 |
+
"step": 500
|
23 |
+
},
|
24 |
+
{
|
25 |
+
"epoch": 0.0,
|
26 |
+
"learning_rate": 5e-05,
|
27 |
+
"loss": 2.4255,
|
28 |
+
"step": 1000
|
29 |
+
},
|
30 |
+
{
|
31 |
+
"epoch": 0.0,
|
32 |
+
"eval_loss": 1.4117300510406494,
|
33 |
+
"eval_runtime": 29117.2533,
|
34 |
+
"eval_samples_per_second": 24.72,
|
35 |
+
"eval_steps_per_second": 6.18,
|
36 |
+
"step": 1000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.0,
|
40 |
+
"learning_rate": 5e-05,
|
41 |
+
"loss": 2.2975,
|
42 |
+
"step": 1500
|
43 |
+
},
|
44 |
+
{
|
45 |
+
"epoch": 0.0,
|
46 |
+
"eval_loss": 1.3992412090301514,
|
47 |
+
"eval_runtime": 29718.2883,
|
48 |
+
"eval_samples_per_second": 24.22,
|
49 |
+
"eval_steps_per_second": 6.055,
|
50 |
+
"step": 1500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.0,
|
54 |
+
"learning_rate": 5e-05,
|
55 |
+
"loss": 2.3514,
|
56 |
+
"step": 2000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.0,
|
60 |
+
"eval_loss": 1.4060639142990112,
|
61 |
+
"eval_runtime": 28900.2542,
|
62 |
+
"eval_samples_per_second": 24.906,
|
63 |
+
"eval_steps_per_second": 6.226,
|
64 |
+
"step": 2000
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 0.0,
|
68 |
+
"learning_rate": 5e-05,
|
69 |
+
"loss": 2.3757,
|
70 |
+
"step": 2500
|
71 |
+
},
|
72 |
+
{
|
73 |
+
"epoch": 0.0,
|
74 |
+
"eval_loss": 1.399295687675476,
|
75 |
+
"eval_runtime": 29509.4537,
|
76 |
+
"eval_samples_per_second": 24.392,
|
77 |
+
"eval_steps_per_second": 6.098,
|
78 |
+
"step": 2500
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 0.0,
|
82 |
+
"learning_rate": 5e-05,
|
83 |
+
"loss": 2.295,
|
84 |
+
"step": 3000
|
85 |
+
},
|
86 |
+
{
|
87 |
+
"epoch": 0.0,
|
88 |
+
"eval_loss": 1.393278956413269,
|
89 |
+
"eval_runtime": 28449.3173,
|
90 |
+
"eval_samples_per_second": 25.301,
|
91 |
+
"eval_steps_per_second": 6.325,
|
92 |
+
"step": 3000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.0,
|
96 |
+
"learning_rate": 5e-05,
|
97 |
+
"loss": 2.2565,
|
98 |
+
"step": 3500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.0,
|
102 |
+
"eval_loss": 1.3863052129745483,
|
103 |
+
"eval_runtime": 28789.7552,
|
104 |
+
"eval_samples_per_second": 25.001,
|
105 |
+
"eval_steps_per_second": 6.25,
|
106 |
+
"step": 3500
|
107 |
+
},
|
108 |
+
{
|
109 |
+
"epoch": 0.0,
|
110 |
+
"learning_rate": 5e-05,
|
111 |
+
"loss": 2.3095,
|
112 |
+
"step": 4000
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 0.0,
|
116 |
+
"eval_loss": 1.3882980346679688,
|
117 |
+
"eval_runtime": 28567.3896,
|
118 |
+
"eval_samples_per_second": 25.196,
|
119 |
+
"eval_steps_per_second": 6.299,
|
120 |
+
"step": 4000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.0,
|
124 |
+
"learning_rate": 5e-05,
|
125 |
+
"loss": 2.3021,
|
126 |
+
"step": 4500
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.0,
|
130 |
+
"eval_loss": 1.3863459825515747,
|
131 |
+
"eval_runtime": 28424.5337,
|
132 |
+
"eval_samples_per_second": 25.323,
|
133 |
+
"eval_steps_per_second": 6.331,
|
134 |
+
"step": 4500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.0,
|
138 |
+
"learning_rate": 5e-05,
|
139 |
+
"loss": 2.2299,
|
140 |
+
"step": 5000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.0,
|
144 |
+
"eval_loss": 1.3776334524154663,
|
145 |
+
"eval_runtime": 28753.4447,
|
146 |
+
"eval_samples_per_second": 25.033,
|
147 |
+
"eval_steps_per_second": 6.258,
|
148 |
+
"step": 5000
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 0.0,
|
152 |
+
"learning_rate": 5e-05,
|
153 |
+
"loss": 2.2306,
|
154 |
+
"step": 5500
|
155 |
+
},
|
156 |
+
{
|
157 |
+
"epoch": 0.0,
|
158 |
+
"eval_loss": 1.3795045614242554,
|
159 |
+
"eval_runtime": 28113.3911,
|
160 |
+
"eval_samples_per_second": 25.603,
|
161 |
+
"eval_steps_per_second": 6.401,
|
162 |
+
"step": 5500
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 0.0,
|
166 |
+
"learning_rate": 5e-05,
|
167 |
+
"loss": 2.2425,
|
168 |
+
"step": 6000
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 0.0,
|
172 |
+
"eval_loss": 1.3737467527389526,
|
173 |
+
"eval_runtime": 28752.4369,
|
174 |
+
"eval_samples_per_second": 25.034,
|
175 |
+
"eval_steps_per_second": 6.258,
|
176 |
+
"step": 6000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.0,
|
180 |
+
"learning_rate": 5e-05,
|
181 |
+
"loss": 2.1932,
|
182 |
+
"step": 6500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.0,
|
186 |
+
"eval_loss": 1.3799411058425903,
|
187 |
+
"eval_runtime": 27577.5799,
|
188 |
+
"eval_samples_per_second": 26.1,
|
189 |
+
"eval_steps_per_second": 6.525,
|
190 |
+
"step": 6500
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 0.0,
|
194 |
+
"learning_rate": 5e-05,
|
195 |
+
"loss": 2.2312,
|
196 |
+
"step": 7000
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 0.0,
|
200 |
+
"eval_loss": 1.3715393543243408,
|
201 |
+
"eval_runtime": 28034.4873,
|
202 |
+
"eval_samples_per_second": 25.675,
|
203 |
+
"eval_steps_per_second": 6.419,
|
204 |
+
"step": 7000
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 0.0,
|
208 |
+
"learning_rate": 5e-05,
|
209 |
+
"loss": 2.2841,
|
210 |
+
"step": 7500
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.0,
|
214 |
+
"eval_loss": 1.3804839849472046,
|
215 |
+
"eval_runtime": 28127.7804,
|
216 |
+
"eval_samples_per_second": 25.59,
|
217 |
+
"eval_steps_per_second": 6.397,
|
218 |
+
"step": 7500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.0,
|
222 |
+
"learning_rate": 5e-05,
|
223 |
+
"loss": 2.1463,
|
224 |
+
"step": 8000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.0,
|
228 |
+
"eval_loss": 1.3776183128356934,
|
229 |
+
"eval_runtime": 27577.1163,
|
230 |
+
"eval_samples_per_second": 26.101,
|
231 |
+
"eval_steps_per_second": 6.525,
|
232 |
+
"step": 8000
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 0.0,
|
236 |
+
"learning_rate": 5e-05,
|
237 |
+
"loss": 2.1313,
|
238 |
+
"step": 8500
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 0.0,
|
242 |
+
"eval_loss": 1.3699731826782227,
|
243 |
+
"eval_runtime": 28190.8614,
|
244 |
+
"eval_samples_per_second": 25.533,
|
245 |
+
"eval_steps_per_second": 6.383,
|
246 |
+
"step": 8500
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.0,
|
250 |
+
"learning_rate": 5e-05,
|
251 |
+
"loss": 2.2267,
|
252 |
+
"step": 9000
|
253 |
+
},
|
254 |
+
{
|
255 |
+
"epoch": 0.0,
|
256 |
+
"eval_loss": 1.366495132446289,
|
257 |
+
"eval_runtime": 28103.2881,
|
258 |
+
"eval_samples_per_second": 25.612,
|
259 |
+
"eval_steps_per_second": 6.403,
|
260 |
+
"step": 9000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.0,
|
264 |
+
"learning_rate": 5e-05,
|
265 |
+
"loss": 2.1866,
|
266 |
+
"step": 9500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.0,
|
270 |
+
"eval_loss": 1.3763595819473267,
|
271 |
+
"eval_runtime": 27696.0614,
|
272 |
+
"eval_samples_per_second": 25.989,
|
273 |
+
"eval_steps_per_second": 6.497,
|
274 |
+
"step": 9500
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 0.0,
|
278 |
+
"learning_rate": 5e-05,
|
279 |
+
"loss": 2.2347,
|
280 |
+
"step": 10000
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 0.0,
|
284 |
+
"eval_loss": 1.3777934312820435,
|
285 |
+
"eval_runtime": 28118.8859,
|
286 |
+
"eval_samples_per_second": 25.598,
|
287 |
+
"eval_steps_per_second": 6.399,
|
288 |
+
"step": 10000
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 0.0,
|
292 |
+
"learning_rate": 5e-05,
|
293 |
+
"loss": 2.1514,
|
294 |
+
"step": 10500
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 0.0,
|
298 |
+
"eval_loss": 1.370295763015747,
|
299 |
+
"eval_runtime": 27665.6655,
|
300 |
+
"eval_samples_per_second": 26.017,
|
301 |
+
"eval_steps_per_second": 6.504,
|
302 |
+
"step": 10500
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.0,
|
306 |
+
"learning_rate": 5e-05,
|
307 |
+
"loss": 2.2867,
|
308 |
+
"step": 11000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.0,
|
312 |
+
"eval_loss": 1.372216820716858,
|
313 |
+
"eval_runtime": 28029.069,
|
314 |
+
"eval_samples_per_second": 25.68,
|
315 |
+
"eval_steps_per_second": 6.42,
|
316 |
+
"step": 11000
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 0.0,
|
320 |
+
"learning_rate": 5e-05,
|
321 |
+
"loss": 2.3031,
|
322 |
+
"step": 11500
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 0.0,
|
326 |
+
"eval_loss": 1.3675533533096313,
|
327 |
+
"eval_runtime": 28060.4111,
|
328 |
+
"eval_samples_per_second": 25.651,
|
329 |
+
"eval_steps_per_second": 6.413,
|
330 |
+
"step": 11500
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.0,
|
334 |
+
"learning_rate": 5e-05,
|
335 |
+
"loss": 2.2353,
|
336 |
+
"step": 12000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.0,
|
340 |
+
"eval_loss": 1.3742448091506958,
|
341 |
+
"eval_runtime": 27439.4619,
|
342 |
+
"eval_samples_per_second": 26.232,
|
343 |
+
"eval_steps_per_second": 6.558,
|
344 |
+
"step": 12000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.0,
|
348 |
+
"learning_rate": 5e-05,
|
349 |
+
"loss": 2.2022,
|
350 |
+
"step": 12500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.0,
|
354 |
+
"eval_loss": 1.3690038919448853,
|
355 |
+
"eval_runtime": 28177.5616,
|
356 |
+
"eval_samples_per_second": 25.545,
|
357 |
+
"eval_steps_per_second": 6.386,
|
358 |
+
"step": 12500
|
359 |
+
},
|
360 |
+
{
|
361 |
+
"epoch": 0.0,
|
362 |
+
"learning_rate": 5e-05,
|
363 |
+
"loss": 2.1925,
|
364 |
+
"step": 13000
|
365 |
+
},
|
366 |
+
{
|
367 |
+
"epoch": 0.0,
|
368 |
+
"eval_loss": 1.3660128116607666,
|
369 |
+
"eval_runtime": 28183.7194,
|
370 |
+
"eval_samples_per_second": 25.539,
|
371 |
+
"eval_steps_per_second": 6.385,
|
372 |
+
"step": 13000
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 0.0,
|
376 |
+
"learning_rate": 5e-05,
|
377 |
+
"loss": 2.2097,
|
378 |
+
"step": 13500
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 0.0,
|
382 |
+
"eval_loss": 1.3706327676773071,
|
383 |
+
"eval_runtime": 27638.252,
|
384 |
+
"eval_samples_per_second": 26.043,
|
385 |
+
"eval_steps_per_second": 6.511,
|
386 |
+
"step": 13500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.0,
|
390 |
+
"learning_rate": 5e-05,
|
391 |
+
"loss": 2.1606,
|
392 |
+
"step": 14000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.0,
|
396 |
+
"eval_loss": 1.369661569595337,
|
397 |
+
"eval_runtime": 28259.5204,
|
398 |
+
"eval_samples_per_second": 25.47,
|
399 |
+
"eval_steps_per_second": 6.368,
|
400 |
+
"step": 14000
|
401 |
+
},
|
402 |
+
{
|
403 |
+
"epoch": 0.0,
|
404 |
+
"learning_rate": 5e-05,
|
405 |
+
"loss": 2.2216,
|
406 |
+
"step": 14500
|
407 |
+
},
|
408 |
+
{
|
409 |
+
"epoch": 0.0,
|
410 |
+
"eval_loss": 1.368302822113037,
|
411 |
+
"eval_runtime": 28149.9769,
|
412 |
+
"eval_samples_per_second": 25.57,
|
413 |
+
"eval_steps_per_second": 6.392,
|
414 |
+
"step": 14500
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 0.0,
|
418 |
+
"learning_rate": 5e-05,
|
419 |
+
"loss": 2.1916,
|
420 |
+
"step": 15000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 0.0,
|
424 |
+
"eval_loss": 1.3689770698547363,
|
425 |
+
"eval_runtime": 27702.5821,
|
426 |
+
"eval_samples_per_second": 25.983,
|
427 |
+
"eval_steps_per_second": 6.496,
|
428 |
+
"step": 15000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.0,
|
432 |
+
"learning_rate": 5e-05,
|
433 |
+
"loss": 2.2369,
|
434 |
+
"step": 15500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.0,
|
438 |
+
"eval_loss": 1.3695650100708008,
|
439 |
+
"eval_runtime": 28082.9192,
|
440 |
+
"eval_samples_per_second": 25.631,
|
441 |
+
"eval_steps_per_second": 6.408,
|
442 |
+
"step": 15500
|
443 |
+
},
|
444 |
+
{
|
445 |
+
"epoch": 0.0,
|
446 |
+
"learning_rate": 5e-05,
|
447 |
+
"loss": 2.1862,
|
448 |
+
"step": 16000
|
449 |
+
},
|
450 |
+
{
|
451 |
+
"epoch": 0.0,
|
452 |
+
"eval_loss": 1.3672432899475098,
|
453 |
+
"eval_runtime": 27790.3978,
|
454 |
+
"eval_samples_per_second": 25.9,
|
455 |
+
"eval_steps_per_second": 6.475,
|
456 |
+
"step": 16000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 0.0,
|
460 |
+
"learning_rate": 5e-05,
|
461 |
+
"loss": 2.1875,
|
462 |
+
"step": 16500
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 0.0,
|
466 |
+
"eval_loss": 1.372326135635376,
|
467 |
+
"eval_runtime": 27957.8295,
|
468 |
+
"eval_samples_per_second": 25.745,
|
469 |
+
"eval_steps_per_second": 6.436,
|
470 |
+
"step": 16500
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.0,
|
474 |
+
"learning_rate": 5e-05,
|
475 |
+
"loss": 2.2237,
|
476 |
+
"step": 17000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.0,
|
480 |
+
"eval_loss": 1.3708332777023315,
|
481 |
+
"eval_runtime": 28123.0687,
|
482 |
+
"eval_samples_per_second": 25.594,
|
483 |
+
"eval_steps_per_second": 6.399,
|
484 |
+
"step": 17000
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 0.0,
|
488 |
+
"learning_rate": 5e-05,
|
489 |
+
"loss": 2.1123,
|
490 |
+
"step": 17500
|
491 |
+
},
|
492 |
+
{
|
493 |
+
"epoch": 0.0,
|
494 |
+
"eval_loss": 1.3687807321548462,
|
495 |
+
"eval_runtime": 27597.4681,
|
496 |
+
"eval_samples_per_second": 26.082,
|
497 |
+
"eval_steps_per_second": 6.52,
|
498 |
+
"step": 17500
|
499 |
+
},
|
500 |
+
{
|
501 |
+
"epoch": 0.0,
|
502 |
+
"learning_rate": 5e-05,
|
503 |
+
"loss": 2.1219,
|
504 |
+
"step": 18000
|
505 |
+
},
|
506 |
+
{
|
507 |
+
"epoch": 0.0,
|
508 |
+
"eval_loss": 1.376206874847412,
|
509 |
+
"eval_runtime": 28127.0268,
|
510 |
+
"eval_samples_per_second": 25.59,
|
511 |
+
"eval_steps_per_second": 6.398,
|
512 |
+
"step": 18000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.0,
|
516 |
+
"learning_rate": 5e-05,
|
517 |
+
"loss": 2.1776,
|
518 |
+
"step": 18500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.0,
|
522 |
+
"eval_loss": 1.368283748626709,
|
523 |
+
"eval_runtime": 28116.6088,
|
524 |
+
"eval_samples_per_second": 25.6,
|
525 |
+
"eval_steps_per_second": 6.4,
|
526 |
+
"step": 18500
|
527 |
+
},
|
528 |
+
{
|
529 |
+
"epoch": 0.0,
|
530 |
+
"learning_rate": 5e-05,
|
531 |
+
"loss": 2.1627,
|
532 |
+
"step": 19000
|
533 |
+
},
|
534 |
+
{
|
535 |
+
"epoch": 0.0,
|
536 |
+
"eval_loss": 1.3710017204284668,
|
537 |
+
"eval_runtime": 27585.1366,
|
538 |
+
"eval_samples_per_second": 26.093,
|
539 |
+
"eval_steps_per_second": 6.523,
|
540 |
+
"step": 19000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 0.0,
|
544 |
+
"learning_rate": 5e-05,
|
545 |
+
"loss": 2.0627,
|
546 |
+
"step": 19500
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 0.0,
|
550 |
+
"eval_loss": 1.3697084188461304,
|
551 |
+
"eval_runtime": 28272.5185,
|
552 |
+
"eval_samples_per_second": 25.459,
|
553 |
+
"eval_steps_per_second": 6.365,
|
554 |
+
"step": 19500
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.0,
|
558 |
+
"learning_rate": 5e-05,
|
559 |
+
"loss": 2.0632,
|
560 |
+
"step": 20000
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.0,
|
564 |
+
"eval_loss": 1.3792474269866943,
|
565 |
+
"eval_runtime": 28381.2307,
|
566 |
+
"eval_samples_per_second": 25.361,
|
567 |
+
"eval_steps_per_second": 6.34,
|
568 |
+
"step": 20000
|
569 |
+
},
|
570 |
+
{
|
571 |
+
"epoch": 0.0,
|
572 |
+
"learning_rate": 5e-05,
|
573 |
+
"loss": 2.2426,
|
574 |
+
"step": 20500
|
575 |
+
},
|
576 |
+
{
|
577 |
+
"epoch": 0.0,
|
578 |
+
"eval_loss": 1.373166799545288,
|
579 |
+
"eval_runtime": 28634.6137,
|
580 |
+
"eval_samples_per_second": 25.137,
|
581 |
+
"eval_steps_per_second": 6.284,
|
582 |
+
"step": 20500
|
583 |
+
},
|
584 |
+
{
|
585 |
+
"epoch": 0.0,
|
586 |
+
"learning_rate": 5e-05,
|
587 |
+
"loss": 2.1263,
|
588 |
+
"step": 21000
|
589 |
+
},
|
590 |
+
{
|
591 |
+
"epoch": 0.0,
|
592 |
+
"eval_loss": 1.3743404150009155,
|
593 |
+
"eval_runtime": 28674.6776,
|
594 |
+
"eval_samples_per_second": 25.102,
|
595 |
+
"eval_steps_per_second": 6.275,
|
596 |
+
"step": 21000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.0,
|
600 |
+
"learning_rate": 5e-05,
|
601 |
+
"loss": 2.1131,
|
602 |
+
"step": 21500
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.0,
|
606 |
+
"eval_loss": 1.3682280778884888,
|
607 |
+
"eval_runtime": 28099.2766,
|
608 |
+
"eval_samples_per_second": 25.616,
|
609 |
+
"eval_steps_per_second": 6.404,
|
610 |
+
"step": 21500
|
611 |
+
},
|
612 |
+
{
|
613 |
+
"epoch": 0.0,
|
614 |
+
"learning_rate": 5e-05,
|
615 |
+
"loss": 2.0595,
|
616 |
+
"step": 22000
|
617 |
+
},
|
618 |
+
{
|
619 |
+
"epoch": 0.0,
|
620 |
+
"eval_loss": 1.3719111680984497,
|
621 |
+
"eval_runtime": 28695.4529,
|
622 |
+
"eval_samples_per_second": 25.084,
|
623 |
+
"eval_steps_per_second": 6.271,
|
624 |
+
"step": 22000
|
625 |
+
},
|
626 |
+
{
|
627 |
+
"epoch": 0.0,
|
628 |
+
"learning_rate": 5e-05,
|
629 |
+
"loss": 2.1468,
|
630 |
+
"step": 22500
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 0.0,
|
634 |
+
"eval_loss": 1.3663983345031738,
|
635 |
+
"eval_runtime": 28026.4183,
|
636 |
+
"eval_samples_per_second": 25.682,
|
637 |
+
"eval_steps_per_second": 6.421,
|
638 |
+
"step": 22500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.0,
|
642 |
+
"learning_rate": 5e-05,
|
643 |
+
"loss": 2.184,
|
644 |
+
"step": 23000
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.0,
|
648 |
+
"eval_loss": 1.3723489046096802,
|
649 |
+
"eval_runtime": 28690.9854,
|
650 |
+
"eval_samples_per_second": 25.087,
|
651 |
+
"eval_steps_per_second": 6.272,
|
652 |
+
"step": 23000
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 0.0,
|
656 |
+
"learning_rate": 5e-05,
|
657 |
+
"loss": 2.1262,
|
658 |
+
"step": 23500
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 0.0,
|
662 |
+
"eval_loss": 1.3714051246643066,
|
663 |
+
"eval_runtime": 28156.2291,
|
664 |
+
"eval_samples_per_second": 25.564,
|
665 |
+
"eval_steps_per_second": 6.391,
|
666 |
+
"step": 23500
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 0.0,
|
670 |
+
"learning_rate": 5e-05,
|
671 |
+
"loss": 2.1758,
|
672 |
+
"step": 24000
|
673 |
+
},
|
674 |
+
{
|
675 |
+
"epoch": 0.0,
|
676 |
+
"eval_loss": 1.368726134300232,
|
677 |
+
"eval_runtime": 28657.2462,
|
678 |
+
"eval_samples_per_second": 25.117,
|
679 |
+
"eval_steps_per_second": 6.279,
|
680 |
+
"step": 24000
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.0,
|
684 |
+
"learning_rate": 5e-05,
|
685 |
+
"loss": 2.0438,
|
686 |
+
"step": 24500
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.0,
|
690 |
+
"eval_loss": 1.3730684518814087,
|
691 |
+
"eval_runtime": 28686.5378,
|
692 |
+
"eval_samples_per_second": 25.091,
|
693 |
+
"eval_steps_per_second": 6.273,
|
694 |
+
"step": 24500
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 0.0,
|
698 |
+
"learning_rate": 5e-05,
|
699 |
+
"loss": 2.1404,
|
700 |
+
"step": 25000
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 0.0,
|
704 |
+
"eval_loss": 1.3706409931182861,
|
705 |
+
"eval_runtime": 28123.1244,
|
706 |
+
"eval_samples_per_second": 25.594,
|
707 |
+
"eval_steps_per_second": 6.399,
|
708 |
+
"step": 25000
|
709 |
+
},
|
710 |
+
{
|
711 |
+
"epoch": 0.0,
|
712 |
+
"learning_rate": 5e-05,
|
713 |
+
"loss": 2.1135,
|
714 |
+
"step": 25500
|
715 |
+
},
|
716 |
+
{
|
717 |
+
"epoch": 0.0,
|
718 |
+
"eval_loss": 1.3763220310211182,
|
719 |
+
"eval_runtime": 28682.6176,
|
720 |
+
"eval_samples_per_second": 25.095,
|
721 |
+
"eval_steps_per_second": 6.274,
|
722 |
+
"step": 25500
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.0,
|
726 |
+
"learning_rate": 5e-05,
|
727 |
+
"loss": 2.0536,
|
728 |
+
"step": 26000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.0,
|
732 |
+
"eval_loss": 1.3709115982055664,
|
733 |
+
"eval_runtime": 28032.6358,
|
734 |
+
"eval_samples_per_second": 25.677,
|
735 |
+
"eval_steps_per_second": 6.419,
|
736 |
+
"step": 26000
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 0.0,
|
740 |
+
"learning_rate": 5e-05,
|
741 |
+
"loss": 2.1203,
|
742 |
+
"step": 26500
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 0.0,
|
746 |
+
"eval_loss": 1.3710169792175293,
|
747 |
+
"eval_runtime": 28678.3157,
|
748 |
+
"eval_samples_per_second": 25.099,
|
749 |
+
"eval_steps_per_second": 6.275,
|
750 |
+
"step": 26500
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 0.0,
|
754 |
+
"learning_rate": 5e-05,
|
755 |
+
"loss": 2.0784,
|
756 |
+
"step": 27000
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 0.0,
|
760 |
+
"eval_loss": 1.370123028755188,
|
761 |
+
"eval_runtime": 28008.2176,
|
762 |
+
"eval_samples_per_second": 25.699,
|
763 |
+
"eval_steps_per_second": 6.425,
|
764 |
+
"step": 27000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.0,
|
768 |
+
"learning_rate": 5e-05,
|
769 |
+
"loss": 2.0521,
|
770 |
+
"step": 27500
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.0,
|
774 |
+
"eval_loss": 1.3733536005020142,
|
775 |
+
"eval_runtime": 17990.0293,
|
776 |
+
"eval_samples_per_second": 40.01,
|
777 |
+
"eval_steps_per_second": 10.003,
|
778 |
+
"step": 27500
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 0.0,
|
782 |
+
"learning_rate": 5e-05,
|
783 |
+
"loss": 2.1773,
|
784 |
+
"step": 28000
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 0.0,
|
788 |
+
"eval_loss": 1.3757646083831787,
|
789 |
+
"eval_runtime": 18000.6521,
|
790 |
+
"eval_samples_per_second": 39.987,
|
791 |
+
"eval_steps_per_second": 9.997,
|
792 |
+
"step": 28000
|
793 |
+
},
|
794 |
+
{
|
795 |
+
"epoch": 0.0,
|
796 |
+
"learning_rate": 5e-05,
|
797 |
+
"loss": 2.1688,
|
798 |
+
"step": 28500
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 0.0,
|
802 |
+
"eval_loss": 1.3776638507843018,
|
803 |
+
"eval_runtime": 17989.8584,
|
804 |
+
"eval_samples_per_second": 40.011,
|
805 |
+
"eval_steps_per_second": 10.003,
|
806 |
+
"step": 28500
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 0.0,
|
810 |
+
"learning_rate": 5e-05,
|
811 |
+
"loss": 2.0855,
|
812 |
+
"step": 29000
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.0,
|
816 |
+
"eval_loss": 1.3749734163284302,
|
817 |
+
"eval_runtime": 17990.6544,
|
818 |
+
"eval_samples_per_second": 40.009,
|
819 |
+
"eval_steps_per_second": 10.002,
|
820 |
+
"step": 29000
|
821 |
+
}
|
822 |
+
],
|
823 |
+
"max_steps": 30000,
|
824 |
+
"num_train_epochs": 1,
|
825 |
+
"total_flos": 1.5154937856e+16,
|
826 |
+
"trial_name": null,
|
827 |
+
"trial_params": null
|
828 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:787e1daf7779e9459fcfaef465541d7afcd7dea8b1bf9560c3af7958defad081
|
3 |
+
size 2735
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|