RobertIrv938
commited on
Commit
•
b863c38
1
Parent(s):
f97cf9f
update
Browse files- config.json +43 -0
- pytorch_model.bin +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- rng_state_4.pth +3 -0
- rng_state_5.pth +3 -0
- rng_state_6.pth +3 -0
- rng_state_7.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +9 -0
- trainer_state.json +622 -0
- training_args.bin +3 -0
- vocab.json +0 -0
config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "gpt2-medium",
|
3 |
+
"activation_function": "gelu_new",
|
4 |
+
"architectures": [
|
5 |
+
"GPT2ForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attn_pdrop": 0.1,
|
8 |
+
"bos_token_id": 50256,
|
9 |
+
"embd_pdrop": 0.1,
|
10 |
+
"eos_token_id": 50256,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"layer_norm_epsilon": 1e-05,
|
13 |
+
"model_type": "gpt2",
|
14 |
+
"n_ctx": 1024,
|
15 |
+
"n_embd": 1024,
|
16 |
+
"n_head": 16,
|
17 |
+
"n_inner": null,
|
18 |
+
"n_layer": 24,
|
19 |
+
"n_positions": 1024,
|
20 |
+
"n_special": 0,
|
21 |
+
"pad_token_id": 50256,
|
22 |
+
"predict_special_tokens": true,
|
23 |
+
"problem_type": "single_label_classification",
|
24 |
+
"reorder_and_upcast_attn": false,
|
25 |
+
"resid_pdrop": 0.1,
|
26 |
+
"scale_attn_by_inverse_layer_idx": false,
|
27 |
+
"scale_attn_weights": true,
|
28 |
+
"summary_activation": null,
|
29 |
+
"summary_first_dropout": 0.1,
|
30 |
+
"summary_proj_to_labels": true,
|
31 |
+
"summary_type": "cls_index",
|
32 |
+
"summary_use_proj": true,
|
33 |
+
"task_specific_params": {
|
34 |
+
"text-generation": {
|
35 |
+
"do_sample": true,
|
36 |
+
"max_length": 50
|
37 |
+
}
|
38 |
+
},
|
39 |
+
"torch_dtype": "float32",
|
40 |
+
"transformers_version": "4.18.0",
|
41 |
+
"use_cache": true,
|
42 |
+
"vocab_size": 50257
|
43 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f485ab2daabd6cfb584d1f5dbe44415c4037052562040fbb665d9d465a3487f2
|
3 |
+
size 1444575255
|
rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
rng_state_4.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
rng_state_5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
rng_state_6.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
rng_state_7.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:164703e53f5e25f1cce2b320aef1f8a0d1770d8527da88e6016964eb5e0a6e50
|
3 |
+
size 14439
|
scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7d24c0f69414798a47acd4c683b69df7bc9ba269a534d98f75709da55d3aa6e
|
3 |
+
size 559
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e8f09ea36abdc3af35e95d28c2dfcb249ee3e0183927554884beca737c826384
|
3 |
+
size 623
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_prefix_space": false,
|
3 |
+
"bos_token": "<|endoftext|>",
|
4 |
+
"clean_up_tokenization_spaces": true,
|
5 |
+
"eos_token": "<|endoftext|>",
|
6 |
+
"model_max_length": 1024,
|
7 |
+
"tokenizer_class": "GPT2Tokenizer",
|
8 |
+
"unk_token": "<|endoftext|>"
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,622 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.0,
|
5 |
+
"global_step": 750000,
|
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": 1e-05,
|
13 |
+
"loss": 3.5986,
|
14 |
+
"step": 1
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.05,
|
18 |
+
"learning_rate": 9.83344888888889e-06,
|
19 |
+
"loss": 0.685,
|
20 |
+
"step": 18750
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.05,
|
24 |
+
"eval_accuracy": 0.5626,
|
25 |
+
"eval_loss": 0.676932692527771,
|
26 |
+
"eval_runtime": 23.4325,
|
27 |
+
"eval_samples_per_second": 426.757,
|
28 |
+
"eval_steps_per_second": 6.7,
|
29 |
+
"step": 18750
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 0.1,
|
33 |
+
"learning_rate": 9.666853333333333e-06,
|
34 |
+
"loss": 0.6788,
|
35 |
+
"step": 37500
|
36 |
+
},
|
37 |
+
{
|
38 |
+
"epoch": 0.1,
|
39 |
+
"eval_accuracy": 0.5642,
|
40 |
+
"eval_loss": 0.6758846640586853,
|
41 |
+
"eval_runtime": 23.4496,
|
42 |
+
"eval_samples_per_second": 426.447,
|
43 |
+
"eval_steps_per_second": 6.695,
|
44 |
+
"step": 37500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.15,
|
48 |
+
"learning_rate": 9.500266666666668e-06,
|
49 |
+
"loss": 0.6774,
|
50 |
+
"step": 56250
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.15,
|
54 |
+
"eval_accuracy": 0.5681,
|
55 |
+
"eval_loss": 0.6747780442237854,
|
56 |
+
"eval_runtime": 23.6291,
|
57 |
+
"eval_samples_per_second": 423.207,
|
58 |
+
"eval_steps_per_second": 6.644,
|
59 |
+
"step": 56250
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.2,
|
63 |
+
"learning_rate": 9.333671111111113e-06,
|
64 |
+
"loss": 0.6771,
|
65 |
+
"step": 75000
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.2,
|
69 |
+
"eval_accuracy": 0.5748,
|
70 |
+
"eval_loss": 0.6741061806678772,
|
71 |
+
"eval_runtime": 23.3134,
|
72 |
+
"eval_samples_per_second": 428.938,
|
73 |
+
"eval_steps_per_second": 6.734,
|
74 |
+
"step": 75000
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.25,
|
78 |
+
"learning_rate": 9.167075555555556e-06,
|
79 |
+
"loss": 0.6762,
|
80 |
+
"step": 93750
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.25,
|
84 |
+
"eval_accuracy": 0.5738,
|
85 |
+
"eval_loss": 0.6736128926277161,
|
86 |
+
"eval_runtime": 23.6397,
|
87 |
+
"eval_samples_per_second": 423.017,
|
88 |
+
"eval_steps_per_second": 6.641,
|
89 |
+
"step": 93750
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 0.3,
|
93 |
+
"learning_rate": 9.00048e-06,
|
94 |
+
"loss": 0.6755,
|
95 |
+
"step": 112500
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 0.3,
|
99 |
+
"eval_accuracy": 0.5736,
|
100 |
+
"eval_loss": 0.6737410426139832,
|
101 |
+
"eval_runtime": 23.3251,
|
102 |
+
"eval_samples_per_second": 428.723,
|
103 |
+
"eval_steps_per_second": 6.731,
|
104 |
+
"step": 112500
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.35,
|
108 |
+
"learning_rate": 8.833866666666667e-06,
|
109 |
+
"loss": 0.6751,
|
110 |
+
"step": 131250
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.35,
|
114 |
+
"eval_accuracy": 0.5731,
|
115 |
+
"eval_loss": 0.6734435558319092,
|
116 |
+
"eval_runtime": 23.3345,
|
117 |
+
"eval_samples_per_second": 428.549,
|
118 |
+
"eval_steps_per_second": 6.728,
|
119 |
+
"step": 131250
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 0.4,
|
123 |
+
"learning_rate": 8.667271111111112e-06,
|
124 |
+
"loss": 0.6749,
|
125 |
+
"step": 150000
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 0.4,
|
129 |
+
"eval_accuracy": 0.5714,
|
130 |
+
"eval_loss": 0.6720886826515198,
|
131 |
+
"eval_runtime": 23.4003,
|
132 |
+
"eval_samples_per_second": 427.345,
|
133 |
+
"eval_steps_per_second": 6.709,
|
134 |
+
"step": 150000
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.45,
|
138 |
+
"learning_rate": 8.500666666666666e-06,
|
139 |
+
"loss": 0.6746,
|
140 |
+
"step": 168750
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.45,
|
144 |
+
"eval_accuracy": 0.5767,
|
145 |
+
"eval_loss": 0.6722772717475891,
|
146 |
+
"eval_runtime": 23.5061,
|
147 |
+
"eval_samples_per_second": 425.422,
|
148 |
+
"eval_steps_per_second": 6.679,
|
149 |
+
"step": 168750
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.5,
|
153 |
+
"learning_rate": 8.334071111111112e-06,
|
154 |
+
"loss": 0.6745,
|
155 |
+
"step": 187500
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 0.5,
|
159 |
+
"eval_accuracy": 0.5756,
|
160 |
+
"eval_loss": 0.6716436147689819,
|
161 |
+
"eval_runtime": 23.4294,
|
162 |
+
"eval_samples_per_second": 426.814,
|
163 |
+
"eval_steps_per_second": 6.701,
|
164 |
+
"step": 187500
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.55,
|
168 |
+
"learning_rate": 8.167475555555557e-06,
|
169 |
+
"loss": 0.6745,
|
170 |
+
"step": 206250
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.55,
|
174 |
+
"eval_accuracy": 0.5785,
|
175 |
+
"eval_loss": 0.6716175675392151,
|
176 |
+
"eval_runtime": 23.3298,
|
177 |
+
"eval_samples_per_second": 428.636,
|
178 |
+
"eval_steps_per_second": 6.73,
|
179 |
+
"step": 206250
|
180 |
+
},
|
181 |
+
{
|
182 |
+
"epoch": 0.6,
|
183 |
+
"learning_rate": 8.00088e-06,
|
184 |
+
"loss": 0.6744,
|
185 |
+
"step": 225000
|
186 |
+
},
|
187 |
+
{
|
188 |
+
"epoch": 0.6,
|
189 |
+
"eval_accuracy": 0.5721,
|
190 |
+
"eval_loss": 0.6720548272132874,
|
191 |
+
"eval_runtime": 23.2772,
|
192 |
+
"eval_samples_per_second": 429.606,
|
193 |
+
"eval_steps_per_second": 6.745,
|
194 |
+
"step": 225000
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.65,
|
198 |
+
"learning_rate": 7.834284444444445e-06,
|
199 |
+
"loss": 0.674,
|
200 |
+
"step": 243750
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.65,
|
204 |
+
"eval_accuracy": 0.5742,
|
205 |
+
"eval_loss": 0.6714185476303101,
|
206 |
+
"eval_runtime": 23.567,
|
207 |
+
"eval_samples_per_second": 424.321,
|
208 |
+
"eval_steps_per_second": 6.662,
|
209 |
+
"step": 243750
|
210 |
+
},
|
211 |
+
{
|
212 |
+
"epoch": 0.7,
|
213 |
+
"learning_rate": 7.66768888888889e-06,
|
214 |
+
"loss": 0.6743,
|
215 |
+
"step": 262500
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 0.7,
|
219 |
+
"eval_accuracy": 0.5699,
|
220 |
+
"eval_loss": 0.6723877191543579,
|
221 |
+
"eval_runtime": 23.1824,
|
222 |
+
"eval_samples_per_second": 431.361,
|
223 |
+
"eval_steps_per_second": 6.772,
|
224 |
+
"step": 262500
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.75,
|
228 |
+
"learning_rate": 7.501084444444445e-06,
|
229 |
+
"loss": 0.6737,
|
230 |
+
"step": 281250
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.75,
|
234 |
+
"eval_accuracy": 0.5775,
|
235 |
+
"eval_loss": 0.6708235144615173,
|
236 |
+
"eval_runtime": 23.3586,
|
237 |
+
"eval_samples_per_second": 428.108,
|
238 |
+
"eval_steps_per_second": 6.721,
|
239 |
+
"step": 281250
|
240 |
+
},
|
241 |
+
{
|
242 |
+
"epoch": 0.8,
|
243 |
+
"learning_rate": 7.33448888888889e-06,
|
244 |
+
"loss": 0.6736,
|
245 |
+
"step": 300000
|
246 |
+
},
|
247 |
+
{
|
248 |
+
"epoch": 0.8,
|
249 |
+
"eval_accuracy": 0.5749,
|
250 |
+
"eval_loss": 0.6718671917915344,
|
251 |
+
"eval_runtime": 23.412,
|
252 |
+
"eval_samples_per_second": 427.132,
|
253 |
+
"eval_steps_per_second": 6.706,
|
254 |
+
"step": 300000
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.85,
|
258 |
+
"learning_rate": 7.167893333333334e-06,
|
259 |
+
"loss": 0.6737,
|
260 |
+
"step": 318750
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.85,
|
264 |
+
"eval_accuracy": 0.5756,
|
265 |
+
"eval_loss": 0.6709334254264832,
|
266 |
+
"eval_runtime": 23.5575,
|
267 |
+
"eval_samples_per_second": 424.493,
|
268 |
+
"eval_steps_per_second": 6.665,
|
269 |
+
"step": 318750
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 0.9,
|
273 |
+
"learning_rate": 7.001297777777778e-06,
|
274 |
+
"loss": 0.6736,
|
275 |
+
"step": 337500
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.9,
|
279 |
+
"eval_accuracy": 0.5725,
|
280 |
+
"eval_loss": 0.6705034375190735,
|
281 |
+
"eval_runtime": 23.4245,
|
282 |
+
"eval_samples_per_second": 426.903,
|
283 |
+
"eval_steps_per_second": 6.702,
|
284 |
+
"step": 337500
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.95,
|
288 |
+
"learning_rate": 6.834711111111112e-06,
|
289 |
+
"loss": 0.6736,
|
290 |
+
"step": 356250
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.95,
|
294 |
+
"eval_accuracy": 0.5734,
|
295 |
+
"eval_loss": 0.6707730293273926,
|
296 |
+
"eval_runtime": 23.4532,
|
297 |
+
"eval_samples_per_second": 426.381,
|
298 |
+
"eval_steps_per_second": 6.694,
|
299 |
+
"step": 356250
|
300 |
+
},
|
301 |
+
{
|
302 |
+
"epoch": 1.0,
|
303 |
+
"learning_rate": 6.6681155555555566e-06,
|
304 |
+
"loss": 0.6731,
|
305 |
+
"step": 375000
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 1.0,
|
309 |
+
"eval_accuracy": 0.5765,
|
310 |
+
"eval_loss": 0.6712862253189087,
|
311 |
+
"eval_runtime": 23.3551,
|
312 |
+
"eval_samples_per_second": 428.173,
|
313 |
+
"eval_steps_per_second": 6.722,
|
314 |
+
"step": 375000
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 1.05,
|
318 |
+
"learning_rate": 6.50152e-06,
|
319 |
+
"loss": 0.6704,
|
320 |
+
"step": 393750
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 1.05,
|
324 |
+
"eval_accuracy": 0.5772,
|
325 |
+
"eval_loss": 0.6697613000869751,
|
326 |
+
"eval_runtime": 23.5543,
|
327 |
+
"eval_samples_per_second": 424.551,
|
328 |
+
"eval_steps_per_second": 6.665,
|
329 |
+
"step": 393750
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 1.1,
|
333 |
+
"learning_rate": 6.334924444444444e-06,
|
334 |
+
"loss": 0.6703,
|
335 |
+
"step": 412500
|
336 |
+
},
|
337 |
+
{
|
338 |
+
"epoch": 1.1,
|
339 |
+
"eval_accuracy": 0.5747,
|
340 |
+
"eval_loss": 0.6700881719589233,
|
341 |
+
"eval_runtime": 23.557,
|
342 |
+
"eval_samples_per_second": 424.502,
|
343 |
+
"eval_steps_per_second": 6.665,
|
344 |
+
"step": 412500
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 1.15,
|
348 |
+
"learning_rate": 6.1683288888888896e-06,
|
349 |
+
"loss": 0.6703,
|
350 |
+
"step": 431250
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 1.15,
|
354 |
+
"eval_accuracy": 0.578,
|
355 |
+
"eval_loss": 0.669475257396698,
|
356 |
+
"eval_runtime": 23.4497,
|
357 |
+
"eval_samples_per_second": 426.445,
|
358 |
+
"eval_steps_per_second": 6.695,
|
359 |
+
"step": 431250
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 1.2,
|
363 |
+
"learning_rate": 6.001733333333334e-06,
|
364 |
+
"loss": 0.6705,
|
365 |
+
"step": 450000
|
366 |
+
},
|
367 |
+
{
|
368 |
+
"epoch": 1.2,
|
369 |
+
"eval_accuracy": 0.577,
|
370 |
+
"eval_loss": 0.6688240170478821,
|
371 |
+
"eval_runtime": 23.5829,
|
372 |
+
"eval_samples_per_second": 424.035,
|
373 |
+
"eval_steps_per_second": 6.657,
|
374 |
+
"step": 450000
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 1.25,
|
378 |
+
"learning_rate": 5.8351466666666665e-06,
|
379 |
+
"loss": 0.6703,
|
380 |
+
"step": 468750
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 1.25,
|
384 |
+
"eval_accuracy": 0.5795,
|
385 |
+
"eval_loss": 0.6692911982536316,
|
386 |
+
"eval_runtime": 23.4227,
|
387 |
+
"eval_samples_per_second": 426.936,
|
388 |
+
"eval_steps_per_second": 6.703,
|
389 |
+
"step": 468750
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 1.3,
|
393 |
+
"learning_rate": 5.668551111111112e-06,
|
394 |
+
"loss": 0.6704,
|
395 |
+
"step": 487500
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 1.3,
|
399 |
+
"eval_accuracy": 0.5783,
|
400 |
+
"eval_loss": 0.6689985394477844,
|
401 |
+
"eval_runtime": 23.436,
|
402 |
+
"eval_samples_per_second": 426.694,
|
403 |
+
"eval_steps_per_second": 6.699,
|
404 |
+
"step": 487500
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 1.35,
|
408 |
+
"learning_rate": 5.501955555555556e-06,
|
409 |
+
"loss": 0.6703,
|
410 |
+
"step": 506250
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 1.35,
|
414 |
+
"eval_accuracy": 0.5783,
|
415 |
+
"eval_loss": 0.6690422296524048,
|
416 |
+
"eval_runtime": 23.5352,
|
417 |
+
"eval_samples_per_second": 424.896,
|
418 |
+
"eval_steps_per_second": 6.671,
|
419 |
+
"step": 506250
|
420 |
+
},
|
421 |
+
{
|
422 |
+
"epoch": 1.4,
|
423 |
+
"learning_rate": 5.33536e-06,
|
424 |
+
"loss": 0.6705,
|
425 |
+
"step": 525000
|
426 |
+
},
|
427 |
+
{
|
428 |
+
"epoch": 1.4,
|
429 |
+
"eval_accuracy": 0.5785,
|
430 |
+
"eval_loss": 0.6693896055221558,
|
431 |
+
"eval_runtime": 23.5799,
|
432 |
+
"eval_samples_per_second": 424.09,
|
433 |
+
"eval_steps_per_second": 6.658,
|
434 |
+
"step": 525000
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 1.45,
|
438 |
+
"learning_rate": 5.168782222222223e-06,
|
439 |
+
"loss": 0.6705,
|
440 |
+
"step": 543750
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 1.45,
|
444 |
+
"eval_accuracy": 0.5806,
|
445 |
+
"eval_loss": 0.6683958768844604,
|
446 |
+
"eval_runtime": 23.4942,
|
447 |
+
"eval_samples_per_second": 425.637,
|
448 |
+
"eval_steps_per_second": 6.683,
|
449 |
+
"step": 543750
|
450 |
+
},
|
451 |
+
{
|
452 |
+
"epoch": 1.5,
|
453 |
+
"learning_rate": 5.002186666666667e-06,
|
454 |
+
"loss": 0.6704,
|
455 |
+
"step": 562500
|
456 |
+
},
|
457 |
+
{
|
458 |
+
"epoch": 1.5,
|
459 |
+
"eval_accuracy": 0.5792,
|
460 |
+
"eval_loss": 0.6692180633544922,
|
461 |
+
"eval_runtime": 23.4522,
|
462 |
+
"eval_samples_per_second": 426.4,
|
463 |
+
"eval_steps_per_second": 6.694,
|
464 |
+
"step": 562500
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 1.55,
|
468 |
+
"learning_rate": 4.8356e-06,
|
469 |
+
"loss": 0.6706,
|
470 |
+
"step": 581250
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 1.55,
|
474 |
+
"eval_accuracy": 0.5787,
|
475 |
+
"eval_loss": 0.6688229441642761,
|
476 |
+
"eval_runtime": 23.3586,
|
477 |
+
"eval_samples_per_second": 428.109,
|
478 |
+
"eval_steps_per_second": 6.721,
|
479 |
+
"step": 581250
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 1.6,
|
483 |
+
"learning_rate": 4.669004444444445e-06,
|
484 |
+
"loss": 0.6706,
|
485 |
+
"step": 600000
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 1.6,
|
489 |
+
"eval_accuracy": 0.5814,
|
490 |
+
"eval_loss": 0.6699367165565491,
|
491 |
+
"eval_runtime": 23.5906,
|
492 |
+
"eval_samples_per_second": 423.898,
|
493 |
+
"eval_steps_per_second": 6.655,
|
494 |
+
"step": 600000
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.65,
|
498 |
+
"learning_rate": 4.5024177777777786e-06,
|
499 |
+
"loss": 0.6702,
|
500 |
+
"step": 618750
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 1.65,
|
504 |
+
"eval_accuracy": 0.5766,
|
505 |
+
"eval_loss": 0.669127881526947,
|
506 |
+
"eval_runtime": 23.4357,
|
507 |
+
"eval_samples_per_second": 426.7,
|
508 |
+
"eval_steps_per_second": 6.699,
|
509 |
+
"step": 618750
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 1.7,
|
513 |
+
"learning_rate": 4.335804444444445e-06,
|
514 |
+
"loss": 0.6702,
|
515 |
+
"step": 637500
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.7,
|
519 |
+
"eval_accuracy": 0.5782,
|
520 |
+
"eval_loss": 0.6684728264808655,
|
521 |
+
"eval_runtime": 23.4934,
|
522 |
+
"eval_samples_per_second": 425.651,
|
523 |
+
"eval_steps_per_second": 6.683,
|
524 |
+
"step": 637500
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 1.75,
|
528 |
+
"learning_rate": 4.169217777777778e-06,
|
529 |
+
"loss": 0.67,
|
530 |
+
"step": 656250
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 1.75,
|
534 |
+
"eval_accuracy": 0.5817,
|
535 |
+
"eval_loss": 0.6683481931686401,
|
536 |
+
"eval_runtime": 23.6396,
|
537 |
+
"eval_samples_per_second": 423.02,
|
538 |
+
"eval_steps_per_second": 6.641,
|
539 |
+
"step": 656250
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.8,
|
543 |
+
"learning_rate": 4.002613333333334e-06,
|
544 |
+
"loss": 0.6697,
|
545 |
+
"step": 675000
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 1.8,
|
549 |
+
"eval_accuracy": 0.582,
|
550 |
+
"eval_loss": 0.667320966720581,
|
551 |
+
"eval_runtime": 23.7429,
|
552 |
+
"eval_samples_per_second": 421.178,
|
553 |
+
"eval_steps_per_second": 6.612,
|
554 |
+
"step": 675000
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.85,
|
558 |
+
"learning_rate": 3.836026666666667e-06,
|
559 |
+
"loss": 0.6703,
|
560 |
+
"step": 693750
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.85,
|
564 |
+
"eval_accuracy": 0.581,
|
565 |
+
"eval_loss": 0.6678736209869385,
|
566 |
+
"eval_runtime": 23.3426,
|
567 |
+
"eval_samples_per_second": 428.401,
|
568 |
+
"eval_steps_per_second": 6.726,
|
569 |
+
"step": 693750
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.9,
|
573 |
+
"learning_rate": 3.6694400000000002e-06,
|
574 |
+
"loss": 0.6697,
|
575 |
+
"step": 712500
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 1.9,
|
579 |
+
"eval_accuracy": 0.5854,
|
580 |
+
"eval_loss": 0.6670705080032349,
|
581 |
+
"eval_runtime": 23.4267,
|
582 |
+
"eval_samples_per_second": 426.862,
|
583 |
+
"eval_steps_per_second": 6.702,
|
584 |
+
"step": 712500
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.95,
|
588 |
+
"learning_rate": 3.502835555555556e-06,
|
589 |
+
"loss": 0.6697,
|
590 |
+
"step": 731250
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.95,
|
594 |
+
"eval_accuracy": 0.5837,
|
595 |
+
"eval_loss": 0.6675453186035156,
|
596 |
+
"eval_runtime": 23.4269,
|
597 |
+
"eval_samples_per_second": 426.859,
|
598 |
+
"eval_steps_per_second": 6.702,
|
599 |
+
"step": 731250
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 2.0,
|
603 |
+
"learning_rate": 3.33624e-06,
|
604 |
+
"loss": 0.6702,
|
605 |
+
"step": 750000
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 2.0,
|
609 |
+
"eval_accuracy": 0.5857,
|
610 |
+
"eval_loss": 0.6678363084793091,
|
611 |
+
"eval_runtime": 23.4622,
|
612 |
+
"eval_samples_per_second": 426.218,
|
613 |
+
"eval_steps_per_second": 6.692,
|
614 |
+
"step": 750000
|
615 |
+
}
|
616 |
+
],
|
617 |
+
"max_steps": 1125000,
|
618 |
+
"num_train_epochs": 3,
|
619 |
+
"total_flos": 4.4577934226915066e+19,
|
620 |
+
"trial_name": null,
|
621 |
+
"trial_params": null
|
622 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dabd318b71cbaaac5a9c5b078ed254496a32f380e023f62b257dabe7a6575726
|
3 |
+
size 3119
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|