intelia-lab commited on
Commit
dbefec2
·
verified ·
1 Parent(s): d9c40f2

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
added_tokens.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ {
2
+ "<sep>": 250100
3
+ }
config.json ADDED
@@ -0,0 +1,32 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bigscience/mt0-base",
3
+ "architectures": [
4
+ "MT5ForConditionalGeneration"
5
+ ],
6
+ "d_ff": 2048,
7
+ "d_kv": 64,
8
+ "d_model": 768,
9
+ "decoder_start_token_id": 0,
10
+ "dense_act_fn": "gelu_new",
11
+ "dropout_rate": 0.1,
12
+ "eos_token_id": 1,
13
+ "feed_forward_proj": "gated-gelu",
14
+ "initializer_factor": 1.0,
15
+ "is_encoder_decoder": true,
16
+ "is_gated_act": true,
17
+ "layer_norm_epsilon": 1e-06,
18
+ "model_type": "mt5",
19
+ "num_decoder_layers": 12,
20
+ "num_heads": 12,
21
+ "num_layers": 12,
22
+ "output_past": true,
23
+ "pad_token_id": 0,
24
+ "relative_attention_max_distance": 128,
25
+ "relative_attention_num_buckets": 32,
26
+ "tie_word_embeddings": false,
27
+ "tokenizer_class": "T5Tokenizer",
28
+ "torch_dtype": "float32",
29
+ "transformers_version": "4.24.0",
30
+ "use_cache": false,
31
+ "vocab_size": 250112
32
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd25ae198fd503d1e9356efcbbbb7f88e49d82c0562f497fccd30a34dab29fc7
3
+ size 4113249
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67a3f27c319d7ec03877937f09d08fd01719177bab377d20f3453f0e3a3c7fb3
3
+ size 2329700173
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63955a0ac4359a334e12adc10f842b5046064396ad558b4ec942c12c997ed56c
3
+ size 14503
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:caae46c356cf6ce26e6653b4ed99aa5f8328a84d872e40f2a8edeb8789a5ab7e
3
+ size 14503
rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:316827f015de35908b2819f8f2c582571fde5305330233c3e5b02ff8c5f7a9af
3
+ size 14503
rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aca604aab6271ec581512844ad01378311573bbcafdd60df05dec4e61e37ff4a
3
+ size 14503
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:25b8b5ece814b33028413f4cd3bf290b6c11cd986a2c5019cdcabc548ac2f291
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "eos_token": "</s>",
3
+ "pad_token": "<pad>",
4
+ "sep_token": "<sep>",
5
+ "unk_token": "<unk>"
6
+ }
spiece.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ef78f86560d809067d12bac6c09f19a462cb3af3f54d2b8acbba26e1433125d6
3
+ size 4309802
tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5dd715f65199d1e4a01f2e94c627d658656290f80371a72e5a1c75d4f3c8ab50
3
+ size 16315303
tokenizer_config.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": null,
3
+ "eos_token": "</s>",
4
+ "extra_ids": 0,
5
+ "name_or_path": "bigscience/mt0-base",
6
+ "pad_token": "<pad>",
7
+ "sp_model_kwargs": {},
8
+ "special_tokens_map_file": "/home/patrick/.cache/torch/transformers/685ac0ca8568ec593a48b61b0a3c272beee9bc194a3c7241d15dcadb5f875e53.f76030f3ec1b96a8199b2593390c610e76ca8028ef3d24680000619ffb646276",
9
+ "tokenizer_class": "T5Tokenizer",
10
+ "unk_token": "<unk>"
11
+ }
trainer_state.json ADDED
@@ -0,0 +1,220 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8784255981445312,
3
+ "best_model_checkpoint": "../Modelos/mt0_QG_SQAC_SQuAD 17-11-22_10:03:48/checkpoint-1200",
4
+ "epoch": 2.9976617303195634,
5
+ "global_step": 1200,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.12,
12
+ "eval_loss": 1.0145061016082764,
13
+ "eval_runtime": 65.3999,
14
+ "eval_samples_per_second": 190.122,
15
+ "eval_steps_per_second": 11.896,
16
+ "step": 50
17
+ },
18
+ {
19
+ "epoch": 0.25,
20
+ "eval_loss": 0.9660477638244629,
21
+ "eval_runtime": 65.4002,
22
+ "eval_samples_per_second": 190.122,
23
+ "eval_steps_per_second": 11.896,
24
+ "step": 100
25
+ },
26
+ {
27
+ "epoch": 0.37,
28
+ "eval_loss": 0.9502729773521423,
29
+ "eval_runtime": 65.4029,
30
+ "eval_samples_per_second": 190.114,
31
+ "eval_steps_per_second": 11.895,
32
+ "step": 150
33
+ },
34
+ {
35
+ "epoch": 0.5,
36
+ "eval_loss": 0.9393932819366455,
37
+ "eval_runtime": 65.4026,
38
+ "eval_samples_per_second": 190.115,
39
+ "eval_steps_per_second": 11.896,
40
+ "step": 200
41
+ },
42
+ {
43
+ "epoch": 0.62,
44
+ "eval_loss": 0.9244149923324585,
45
+ "eval_runtime": 65.4024,
46
+ "eval_samples_per_second": 190.115,
47
+ "eval_steps_per_second": 11.896,
48
+ "step": 250
49
+ },
50
+ {
51
+ "epoch": 0.75,
52
+ "eval_loss": 0.912540078163147,
53
+ "eval_runtime": 65.4032,
54
+ "eval_samples_per_second": 190.113,
55
+ "eval_steps_per_second": 11.895,
56
+ "step": 300
57
+ },
58
+ {
59
+ "epoch": 0.87,
60
+ "eval_loss": 0.9208225607872009,
61
+ "eval_runtime": 65.4136,
62
+ "eval_samples_per_second": 190.083,
63
+ "eval_steps_per_second": 11.894,
64
+ "step": 350
65
+ },
66
+ {
67
+ "epoch": 1.0,
68
+ "eval_loss": 0.907939076423645,
69
+ "eval_runtime": 65.3953,
70
+ "eval_samples_per_second": 190.136,
71
+ "eval_steps_per_second": 11.897,
72
+ "step": 400
73
+ },
74
+ {
75
+ "epoch": 1.12,
76
+ "eval_loss": 0.903082013130188,
77
+ "eval_runtime": 65.3937,
78
+ "eval_samples_per_second": 190.141,
79
+ "eval_steps_per_second": 11.897,
80
+ "step": 450
81
+ },
82
+ {
83
+ "epoch": 1.25,
84
+ "learning_rate": 0.001,
85
+ "loss": 1.1491,
86
+ "step": 500
87
+ },
88
+ {
89
+ "epoch": 1.25,
90
+ "eval_loss": 0.8966090083122253,
91
+ "eval_runtime": 65.4073,
92
+ "eval_samples_per_second": 190.101,
93
+ "eval_steps_per_second": 11.895,
94
+ "step": 500
95
+ },
96
+ {
97
+ "epoch": 1.37,
98
+ "eval_loss": 0.8984885215759277,
99
+ "eval_runtime": 65.3845,
100
+ "eval_samples_per_second": 190.167,
101
+ "eval_steps_per_second": 11.899,
102
+ "step": 550
103
+ },
104
+ {
105
+ "epoch": 1.5,
106
+ "eval_loss": 0.8956364393234253,
107
+ "eval_runtime": 65.3948,
108
+ "eval_samples_per_second": 190.137,
109
+ "eval_steps_per_second": 11.897,
110
+ "step": 600
111
+ },
112
+ {
113
+ "epoch": 1.62,
114
+ "eval_loss": 0.8861657381057739,
115
+ "eval_runtime": 65.3936,
116
+ "eval_samples_per_second": 190.141,
117
+ "eval_steps_per_second": 11.897,
118
+ "step": 650
119
+ },
120
+ {
121
+ "epoch": 1.75,
122
+ "eval_loss": 0.8837835788726807,
123
+ "eval_runtime": 65.4055,
124
+ "eval_samples_per_second": 190.106,
125
+ "eval_steps_per_second": 11.895,
126
+ "step": 700
127
+ },
128
+ {
129
+ "epoch": 1.87,
130
+ "eval_loss": 0.875281035900116,
131
+ "eval_runtime": 65.3939,
132
+ "eval_samples_per_second": 190.14,
133
+ "eval_steps_per_second": 11.897,
134
+ "step": 750
135
+ },
136
+ {
137
+ "epoch": 2.0,
138
+ "eval_loss": 0.889029860496521,
139
+ "eval_runtime": 65.4822,
140
+ "eval_samples_per_second": 189.884,
141
+ "eval_steps_per_second": 11.881,
142
+ "step": 800
143
+ },
144
+ {
145
+ "epoch": 2.12,
146
+ "eval_loss": 0.9000933766365051,
147
+ "eval_runtime": 65.3866,
148
+ "eval_samples_per_second": 190.161,
149
+ "eval_steps_per_second": 11.898,
150
+ "step": 850
151
+ },
152
+ {
153
+ "epoch": 2.25,
154
+ "eval_loss": 0.897091805934906,
155
+ "eval_runtime": 65.4252,
156
+ "eval_samples_per_second": 190.049,
157
+ "eval_steps_per_second": 11.891,
158
+ "step": 900
159
+ },
160
+ {
161
+ "epoch": 2.37,
162
+ "eval_loss": 0.8837863206863403,
163
+ "eval_runtime": 65.4877,
164
+ "eval_samples_per_second": 189.868,
165
+ "eval_steps_per_second": 11.88,
166
+ "step": 950
167
+ },
168
+ {
169
+ "epoch": 2.5,
170
+ "learning_rate": 0.001,
171
+ "loss": 0.7877,
172
+ "step": 1000
173
+ },
174
+ {
175
+ "epoch": 2.5,
176
+ "eval_loss": 0.8839919567108154,
177
+ "eval_runtime": 65.4142,
178
+ "eval_samples_per_second": 190.081,
179
+ "eval_steps_per_second": 11.893,
180
+ "step": 1000
181
+ },
182
+ {
183
+ "epoch": 2.62,
184
+ "eval_loss": 0.8844324350357056,
185
+ "eval_runtime": 65.4264,
186
+ "eval_samples_per_second": 190.046,
187
+ "eval_steps_per_second": 11.891,
188
+ "step": 1050
189
+ },
190
+ {
191
+ "epoch": 2.75,
192
+ "eval_loss": 0.8891133666038513,
193
+ "eval_runtime": 65.4136,
194
+ "eval_samples_per_second": 190.083,
195
+ "eval_steps_per_second": 11.894,
196
+ "step": 1100
197
+ },
198
+ {
199
+ "epoch": 2.87,
200
+ "eval_loss": 0.8817307949066162,
201
+ "eval_runtime": 65.4132,
202
+ "eval_samples_per_second": 190.084,
203
+ "eval_steps_per_second": 11.894,
204
+ "step": 1150
205
+ },
206
+ {
207
+ "epoch": 3.0,
208
+ "eval_loss": 0.8784255981445312,
209
+ "eval_runtime": 65.4323,
210
+ "eval_samples_per_second": 190.029,
211
+ "eval_steps_per_second": 11.89,
212
+ "step": 1200
213
+ }
214
+ ],
215
+ "max_steps": 1200,
216
+ "num_train_epochs": 3,
217
+ "total_flos": 3.392579398501663e+17,
218
+ "trial_name": null,
219
+ "trial_params": null
220
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:69c5068595dda35bafef084ebca25a3dd1673c204e12b4a88b480fc1872289a4
3
+ size 3503