Training in progress, step 48000, checkpoint
Browse files- checkpoint-48000/added_tokens.json +3 -0
- checkpoint-48000/bpe.codes +0 -0
- checkpoint-48000/config.json +31 -0
- checkpoint-48000/model.safetensors +3 -0
- checkpoint-48000/optimizer.pt +3 -0
- checkpoint-48000/rng_state.pth +3 -0
- checkpoint-48000/scheduler.pt +3 -0
- checkpoint-48000/special_tokens_map.json +9 -0
- checkpoint-48000/tokenizer_config.json +54 -0
- checkpoint-48000/trainer_state.json +412 -0
- checkpoint-48000/training_args.bin +3 -0
- checkpoint-48000/vocab.txt +0 -0
checkpoint-48000/added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<mask>": 64000
|
3 |
+
}
|
checkpoint-48000/bpe.codes
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-48000/config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "demdecuong/vihealthbert-base-word",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForMaskedLM"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"finetuning_task": "word-level",
|
11 |
+
"gradient_checkpointing": false,
|
12 |
+
"hidden_act": "gelu",
|
13 |
+
"hidden_dropout_prob": 0.1,
|
14 |
+
"hidden_size": 768,
|
15 |
+
"initializer_range": 0.02,
|
16 |
+
"intermediate_size": 3072,
|
17 |
+
"layer_norm_eps": 1e-05,
|
18 |
+
"max_position_embeddings": 258,
|
19 |
+
"model_type": "roberta",
|
20 |
+
"num_attention_heads": 12,
|
21 |
+
"num_hidden_layers": 12,
|
22 |
+
"output_hidden_states": true,
|
23 |
+
"pad_token_id": 1,
|
24 |
+
"position_embedding_type": "absolute",
|
25 |
+
"tokenizer_class": "PhobertTokenizer",
|
26 |
+
"torch_dtype": "float32",
|
27 |
+
"transformers_version": "4.40.2",
|
28 |
+
"type_vocab_size": 1,
|
29 |
+
"use_cache": true,
|
30 |
+
"vocab_size": 64001
|
31 |
+
}
|
checkpoint-48000/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:964f8e70705b22f12e52936c62f18d91c63694120d04a7732dc647fb9bbb4e0f
|
3 |
+
size 540279452
|
checkpoint-48000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c7df599508d558c9b7bae84512adef731ef3335d1b8d630086d385c710d14f0c
|
3 |
+
size 1080631290
|
checkpoint-48000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e7129a36ebb20f7f993d656480cb5e0bf2da52aedd66f62e7bc12a4cf3a747ab
|
3 |
+
size 14244
|
checkpoint-48000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d58622a445edf7d3717f81d48738b3af47c92ab8e6045e34a3e9a23bffd94c8f
|
3 |
+
size 1064
|
checkpoint-48000/special_tokens_map.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": "<mask>",
|
6 |
+
"pad_token": "<pad>",
|
7 |
+
"sep_token": "</s>",
|
8 |
+
"unk_token": "<unk>"
|
9 |
+
}
|
checkpoint-48000/tokenizer_config.json
ADDED
@@ -0,0 +1,54 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"added_tokens_decoder": {
|
3 |
+
"0": {
|
4 |
+
"content": "<s>",
|
5 |
+
"lstrip": false,
|
6 |
+
"normalized": false,
|
7 |
+
"rstrip": false,
|
8 |
+
"single_word": false,
|
9 |
+
"special": true
|
10 |
+
},
|
11 |
+
"1": {
|
12 |
+
"content": "<pad>",
|
13 |
+
"lstrip": false,
|
14 |
+
"normalized": false,
|
15 |
+
"rstrip": false,
|
16 |
+
"single_word": false,
|
17 |
+
"special": true
|
18 |
+
},
|
19 |
+
"2": {
|
20 |
+
"content": "</s>",
|
21 |
+
"lstrip": false,
|
22 |
+
"normalized": false,
|
23 |
+
"rstrip": false,
|
24 |
+
"single_word": false,
|
25 |
+
"special": true
|
26 |
+
},
|
27 |
+
"3": {
|
28 |
+
"content": "<unk>",
|
29 |
+
"lstrip": false,
|
30 |
+
"normalized": false,
|
31 |
+
"rstrip": false,
|
32 |
+
"single_word": false,
|
33 |
+
"special": true
|
34 |
+
},
|
35 |
+
"64000": {
|
36 |
+
"content": "<mask>",
|
37 |
+
"lstrip": false,
|
38 |
+
"normalized": false,
|
39 |
+
"rstrip": false,
|
40 |
+
"single_word": false,
|
41 |
+
"special": true
|
42 |
+
}
|
43 |
+
},
|
44 |
+
"bos_token": "<s>",
|
45 |
+
"clean_up_tokenization_spaces": true,
|
46 |
+
"cls_token": "<s>",
|
47 |
+
"eos_token": "</s>",
|
48 |
+
"mask_token": "<mask>",
|
49 |
+
"model_max_length": 1000000000000000019884624838656,
|
50 |
+
"pad_token": "<pad>",
|
51 |
+
"sep_token": "</s>",
|
52 |
+
"tokenizer_class": "PhobertTokenizer",
|
53 |
+
"unk_token": "<unk>"
|
54 |
+
}
|
checkpoint-48000/trainer_state.json
ADDED
@@ -0,0 +1,412 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.6842720181437064,
|
3 |
+
"best_model_checkpoint": "output/pretraining/vihealthbert-w_unsup-SynPD/lr3e-5_wr0.1_wd0.0/checkpoint-48000",
|
4 |
+
"epoch": 8.271583663622264,
|
5 |
+
"eval_steps": 2000,
|
6 |
+
"global_step": 48000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.00017232465965879716,
|
13 |
+
"grad_norm": 35.608882904052734,
|
14 |
+
"learning_rate": 5.169739789763915e-09,
|
15 |
+
"loss": 10.7382,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.34464931931759435,
|
20 |
+
"grad_norm": 4.884454250335693,
|
21 |
+
"learning_rate": 1.033947957952783e-05,
|
22 |
+
"loss": 5.8543,
|
23 |
+
"step": 2000
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.34464931931759435,
|
27 |
+
"eval_accuracy": 0.3950195480446223,
|
28 |
+
"eval_loss": 3.896709680557251,
|
29 |
+
"eval_runtime": 24.6709,
|
30 |
+
"eval_samples_per_second": 396.175,
|
31 |
+
"eval_steps_per_second": 24.766,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.6892986386351887,
|
36 |
+
"grad_norm": 5.278345108032227,
|
37 |
+
"learning_rate": 2.067895915905566e-05,
|
38 |
+
"loss": 3.4544,
|
39 |
+
"step": 4000
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 0.6892986386351887,
|
43 |
+
"eval_accuracy": 0.530626322082222,
|
44 |
+
"eval_loss": 2.811899423599243,
|
45 |
+
"eval_runtime": 24.6443,
|
46 |
+
"eval_samples_per_second": 396.602,
|
47 |
+
"eval_steps_per_second": 24.793,
|
48 |
+
"step": 4000
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 1.033947957952783,
|
52 |
+
"grad_norm": 4.731122016906738,
|
53 |
+
"learning_rate": 2.988684014015739e-05,
|
54 |
+
"loss": 2.8312,
|
55 |
+
"step": 6000
|
56 |
+
},
|
57 |
+
{
|
58 |
+
"epoch": 1.033947957952783,
|
59 |
+
"eval_accuracy": 0.5771132321637026,
|
60 |
+
"eval_loss": 2.4039628505706787,
|
61 |
+
"eval_runtime": 24.6266,
|
62 |
+
"eval_samples_per_second": 396.889,
|
63 |
+
"eval_steps_per_second": 24.811,
|
64 |
+
"step": 6000
|
65 |
+
},
|
66 |
+
{
|
67 |
+
"epoch": 1.3785972772703774,
|
68 |
+
"grad_norm": 12.213573455810547,
|
69 |
+
"learning_rate": 2.873800907576541e-05,
|
70 |
+
"loss": 2.5914,
|
71 |
+
"step": 8000
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 1.3785972772703774,
|
75 |
+
"eval_accuracy": 0.5349752225383133,
|
76 |
+
"eval_loss": 2.6481692790985107,
|
77 |
+
"eval_runtime": 24.6033,
|
78 |
+
"eval_samples_per_second": 397.264,
|
79 |
+
"eval_steps_per_second": 24.834,
|
80 |
+
"step": 8000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.7232465965879717,
|
84 |
+
"grad_norm": 5.172228813171387,
|
85 |
+
"learning_rate": 2.758917801137343e-05,
|
86 |
+
"loss": 2.5649,
|
87 |
+
"step": 10000
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 1.7232465965879717,
|
91 |
+
"eval_accuracy": 0.6087076297937304,
|
92 |
+
"eval_loss": 2.13348388671875,
|
93 |
+
"eval_runtime": 24.6211,
|
94 |
+
"eval_samples_per_second": 396.976,
|
95 |
+
"eval_steps_per_second": 24.816,
|
96 |
+
"step": 10000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 2.067895915905566,
|
100 |
+
"grad_norm": 4.871993064880371,
|
101 |
+
"learning_rate": 2.6440346946981447e-05,
|
102 |
+
"loss": 2.2749,
|
103 |
+
"step": 12000
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 2.067895915905566,
|
107 |
+
"eval_accuracy": 0.6281529792701336,
|
108 |
+
"eval_loss": 1.9895449876785278,
|
109 |
+
"eval_runtime": 24.453,
|
110 |
+
"eval_samples_per_second": 399.705,
|
111 |
+
"eval_steps_per_second": 24.987,
|
112 |
+
"step": 12000
|
113 |
+
},
|
114 |
+
{
|
115 |
+
"epoch": 2.4125452352231607,
|
116 |
+
"grad_norm": 8.037242889404297,
|
117 |
+
"learning_rate": 2.5291515882589467e-05,
|
118 |
+
"loss": 2.1572,
|
119 |
+
"step": 14000
|
120 |
+
},
|
121 |
+
{
|
122 |
+
"epoch": 2.4125452352231607,
|
123 |
+
"eval_accuracy": 0.6353159252095423,
|
124 |
+
"eval_loss": 1.9312896728515625,
|
125 |
+
"eval_runtime": 24.4658,
|
126 |
+
"eval_samples_per_second": 399.496,
|
127 |
+
"eval_steps_per_second": 24.974,
|
128 |
+
"step": 14000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 2.757194554540755,
|
132 |
+
"grad_norm": 4.320974349975586,
|
133 |
+
"learning_rate": 2.4142684818197487e-05,
|
134 |
+
"loss": 2.1009,
|
135 |
+
"step": 16000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 2.757194554540755,
|
139 |
+
"eval_accuracy": 0.6428579553856829,
|
140 |
+
"eval_loss": 1.864585280418396,
|
141 |
+
"eval_runtime": 24.4545,
|
142 |
+
"eval_samples_per_second": 399.68,
|
143 |
+
"eval_steps_per_second": 24.985,
|
144 |
+
"step": 16000
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 3.101843873858349,
|
148 |
+
"grad_norm": 4.6416168212890625,
|
149 |
+
"learning_rate": 2.2993853753805504e-05,
|
150 |
+
"loss": 2.0609,
|
151 |
+
"step": 18000
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 3.101843873858349,
|
155 |
+
"eval_accuracy": 0.6450457483325106,
|
156 |
+
"eval_loss": 1.8571828603744507,
|
157 |
+
"eval_runtime": 24.4634,
|
158 |
+
"eval_samples_per_second": 399.535,
|
159 |
+
"eval_steps_per_second": 24.976,
|
160 |
+
"step": 18000
|
161 |
+
},
|
162 |
+
{
|
163 |
+
"epoch": 3.4464931931759435,
|
164 |
+
"grad_norm": 4.341440677642822,
|
165 |
+
"learning_rate": 2.184502268941352e-05,
|
166 |
+
"loss": 2.0885,
|
167 |
+
"step": 20000
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 3.4464931931759435,
|
171 |
+
"eval_accuracy": 0.6284792764252838,
|
172 |
+
"eval_loss": 1.9489394426345825,
|
173 |
+
"eval_runtime": 24.6433,
|
174 |
+
"eval_samples_per_second": 396.618,
|
175 |
+
"eval_steps_per_second": 24.794,
|
176 |
+
"step": 20000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 3.791142512493538,
|
180 |
+
"grad_norm": 4.660053253173828,
|
181 |
+
"learning_rate": 2.069619162502154e-05,
|
182 |
+
"loss": 1.9891,
|
183 |
+
"step": 22000
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 3.791142512493538,
|
187 |
+
"eval_accuracy": 0.6582960564701575,
|
188 |
+
"eval_loss": 1.7700080871582031,
|
189 |
+
"eval_runtime": 24.616,
|
190 |
+
"eval_samples_per_second": 397.059,
|
191 |
+
"eval_steps_per_second": 24.821,
|
192 |
+
"step": 22000
|
193 |
+
},
|
194 |
+
{
|
195 |
+
"epoch": 4.135791831811132,
|
196 |
+
"grad_norm": 3.9445292949676514,
|
197 |
+
"learning_rate": 1.954736056062956e-05,
|
198 |
+
"loss": 1.9368,
|
199 |
+
"step": 24000
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 4.135791831811132,
|
203 |
+
"eval_accuracy": 0.6608816779512006,
|
204 |
+
"eval_loss": 1.7397598028182983,
|
205 |
+
"eval_runtime": 24.6251,
|
206 |
+
"eval_samples_per_second": 396.912,
|
207 |
+
"eval_steps_per_second": 24.812,
|
208 |
+
"step": 24000
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 4.480441151128726,
|
212 |
+
"grad_norm": 4.561331748962402,
|
213 |
+
"learning_rate": 1.839852949623758e-05,
|
214 |
+
"loss": 1.9003,
|
215 |
+
"step": 26000
|
216 |
+
},
|
217 |
+
{
|
218 |
+
"epoch": 4.480441151128726,
|
219 |
+
"eval_accuracy": 0.666368433126864,
|
220 |
+
"eval_loss": 1.7164973020553589,
|
221 |
+
"eval_runtime": 24.4665,
|
222 |
+
"eval_samples_per_second": 399.485,
|
223 |
+
"eval_steps_per_second": 24.973,
|
224 |
+
"step": 26000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 4.825090470446321,
|
228 |
+
"grad_norm": 4.358778476715088,
|
229 |
+
"learning_rate": 1.72496984318456e-05,
|
230 |
+
"loss": 1.9058,
|
231 |
+
"step": 28000
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 4.825090470446321,
|
235 |
+
"eval_accuracy": 0.666961039556835,
|
236 |
+
"eval_loss": 1.703224539756775,
|
237 |
+
"eval_runtime": 24.4455,
|
238 |
+
"eval_samples_per_second": 399.829,
|
239 |
+
"eval_steps_per_second": 24.994,
|
240 |
+
"step": 28000
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 5.1697397897639155,
|
244 |
+
"grad_norm": 4.522342205047607,
|
245 |
+
"learning_rate": 1.6100867367453616e-05,
|
246 |
+
"loss": 1.859,
|
247 |
+
"step": 30000
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 5.1697397897639155,
|
251 |
+
"eval_accuracy": 0.6717793867023528,
|
252 |
+
"eval_loss": 1.677147626876831,
|
253 |
+
"eval_runtime": 24.4697,
|
254 |
+
"eval_samples_per_second": 399.432,
|
255 |
+
"eval_steps_per_second": 24.97,
|
256 |
+
"step": 30000
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 5.51438910908151,
|
260 |
+
"grad_norm": 4.162671089172363,
|
261 |
+
"learning_rate": 1.4952036303061636e-05,
|
262 |
+
"loss": 1.8401,
|
263 |
+
"step": 32000
|
264 |
+
},
|
265 |
+
{
|
266 |
+
"epoch": 5.51438910908151,
|
267 |
+
"eval_accuracy": 0.6709595439247201,
|
268 |
+
"eval_loss": 1.665189504623413,
|
269 |
+
"eval_runtime": 24.6261,
|
270 |
+
"eval_samples_per_second": 396.897,
|
271 |
+
"eval_steps_per_second": 24.811,
|
272 |
+
"step": 32000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 5.859038428399104,
|
276 |
+
"grad_norm": 4.618478775024414,
|
277 |
+
"learning_rate": 1.3803205238669653e-05,
|
278 |
+
"loss": 1.8181,
|
279 |
+
"step": 34000
|
280 |
+
},
|
281 |
+
{
|
282 |
+
"epoch": 5.859038428399104,
|
283 |
+
"eval_accuracy": 0.675394469972155,
|
284 |
+
"eval_loss": 1.6417487859725952,
|
285 |
+
"eval_runtime": 24.5944,
|
286 |
+
"eval_samples_per_second": 397.408,
|
287 |
+
"eval_steps_per_second": 24.843,
|
288 |
+
"step": 34000
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 6.203687747716698,
|
292 |
+
"grad_norm": 4.046966075897217,
|
293 |
+
"learning_rate": 1.2654374174277672e-05,
|
294 |
+
"loss": 1.8133,
|
295 |
+
"step": 36000
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 6.203687747716698,
|
299 |
+
"eval_accuracy": 0.6748118789132058,
|
300 |
+
"eval_loss": 1.6430697441101074,
|
301 |
+
"eval_runtime": 24.6651,
|
302 |
+
"eval_samples_per_second": 396.268,
|
303 |
+
"eval_steps_per_second": 24.772,
|
304 |
+
"step": 36000
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 6.548337067034293,
|
308 |
+
"grad_norm": 4.522408962249756,
|
309 |
+
"learning_rate": 1.1505543109885692e-05,
|
310 |
+
"loss": 1.7888,
|
311 |
+
"step": 38000
|
312 |
+
},
|
313 |
+
{
|
314 |
+
"epoch": 6.548337067034293,
|
315 |
+
"eval_accuracy": 0.6755271447952356,
|
316 |
+
"eval_loss": 1.6363412141799927,
|
317 |
+
"eval_runtime": 24.6146,
|
318 |
+
"eval_samples_per_second": 397.081,
|
319 |
+
"eval_steps_per_second": 24.823,
|
320 |
+
"step": 38000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 6.892986386351887,
|
324 |
+
"grad_norm": 4.334969520568848,
|
325 |
+
"learning_rate": 1.035671204549371e-05,
|
326 |
+
"loss": 1.7811,
|
327 |
+
"step": 40000
|
328 |
+
},
|
329 |
+
{
|
330 |
+
"epoch": 6.892986386351887,
|
331 |
+
"eval_accuracy": 0.679264661758257,
|
332 |
+
"eval_loss": 1.6205224990844727,
|
333 |
+
"eval_runtime": 24.6327,
|
334 |
+
"eval_samples_per_second": 396.79,
|
335 |
+
"eval_steps_per_second": 24.804,
|
336 |
+
"step": 40000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 7.237635705669481,
|
340 |
+
"grad_norm": 3.82973313331604,
|
341 |
+
"learning_rate": 9.20788098110173e-06,
|
342 |
+
"loss": 1.7481,
|
343 |
+
"step": 42000
|
344 |
+
},
|
345 |
+
{
|
346 |
+
"epoch": 7.237635705669481,
|
347 |
+
"eval_accuracy": 0.6806846415754118,
|
348 |
+
"eval_loss": 1.61899995803833,
|
349 |
+
"eval_runtime": 24.6165,
|
350 |
+
"eval_samples_per_second": 397.051,
|
351 |
+
"eval_steps_per_second": 24.821,
|
352 |
+
"step": 42000
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 7.582285024987076,
|
356 |
+
"grad_norm": 4.882840633392334,
|
357 |
+
"learning_rate": 8.059049916709748e-06,
|
358 |
+
"loss": 1.7509,
|
359 |
+
"step": 44000
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 7.582285024987076,
|
363 |
+
"eval_accuracy": 0.679368029739777,
|
364 |
+
"eval_loss": 1.614187240600586,
|
365 |
+
"eval_runtime": 24.6302,
|
366 |
+
"eval_samples_per_second": 396.829,
|
367 |
+
"eval_steps_per_second": 24.807,
|
368 |
+
"step": 44000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 7.92693434430467,
|
372 |
+
"grad_norm": 5.021098613739014,
|
373 |
+
"learning_rate": 6.910218852317767e-06,
|
374 |
+
"loss": 1.7517,
|
375 |
+
"step": 46000
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 7.92693434430467,
|
379 |
+
"eval_accuracy": 0.6818803989003784,
|
380 |
+
"eval_loss": 1.594929814338684,
|
381 |
+
"eval_runtime": 24.6331,
|
382 |
+
"eval_samples_per_second": 396.783,
|
383 |
+
"eval_steps_per_second": 24.804,
|
384 |
+
"step": 46000
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 8.271583663622264,
|
388 |
+
"grad_norm": 4.21428108215332,
|
389 |
+
"learning_rate": 5.761387787925786e-06,
|
390 |
+
"loss": 1.7358,
|
391 |
+
"step": 48000
|
392 |
+
},
|
393 |
+
{
|
394 |
+
"epoch": 8.271583663622264,
|
395 |
+
"eval_accuracy": 0.6842720181437064,
|
396 |
+
"eval_loss": 1.5908812284469604,
|
397 |
+
"eval_runtime": 24.6065,
|
398 |
+
"eval_samples_per_second": 397.212,
|
399 |
+
"eval_steps_per_second": 24.831,
|
400 |
+
"step": 48000
|
401 |
+
}
|
402 |
+
],
|
403 |
+
"logging_steps": 2000,
|
404 |
+
"max_steps": 58030,
|
405 |
+
"num_input_tokens_seen": 0,
|
406 |
+
"num_train_epochs": 10,
|
407 |
+
"save_steps": 2000,
|
408 |
+
"total_flos": 0.0,
|
409 |
+
"train_batch_size": 32,
|
410 |
+
"trial_name": null,
|
411 |
+
"trial_params": null
|
412 |
+
}
|
checkpoint-48000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:828a11e9b75940b4120312d1450c3472eb18a2c7fa0179d8afafbcd0800beb75
|
3 |
+
size 5304
|
checkpoint-48000/vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|