fpadovani commited on
Commit
d0286d4
·
verified ·
1 Parent(s): e22077c

Training in progress, step 48000, checkpoint

Browse files
checkpoint-48000/config.json CHANGED
@@ -1,32 +1,28 @@
1
  {
2
- "activation_function": "gelu_new",
3
  "architectures": [
4
- "GPT2LMHeadModel"
5
  ],
6
- "attn_pdrop": 0.1,
7
  "bos_token_id": 0,
8
- "embd_pdrop": 0.1,
9
  "eos_token_id": 1,
 
 
 
10
  "initializer_range": 0.02,
11
- "layer_norm_epsilon": 1e-05,
12
- "model_type": "gpt2",
13
- "n_ctx": 512,
14
- "n_embd": 256,
15
- "n_head": 8,
16
- "n_inner": 2048,
17
- "n_layer": 8,
18
- "n_positions": 512,
19
- "reorder_and_upcast_attn": false,
20
- "resid_pdrop": 0.1,
21
- "scale_attn_by_inverse_layer_idx": false,
22
- "scale_attn_weights": true,
23
- "summary_activation": null,
24
- "summary_first_dropout": 0.1,
25
- "summary_proj_to_labels": true,
26
- "summary_type": "cls_index",
27
- "summary_use_proj": true,
28
  "torch_dtype": "float32",
29
  "transformers_version": "4.45.2",
 
30
  "use_cache": true,
31
  "vocab_size": 8192
32
  }
 
1
  {
 
2
  "architectures": [
3
+ "RobertaForMaskedLM"
4
  ],
5
+ "attention_probs_dropout_prob": 0.1,
6
  "bos_token_id": 0,
7
+ "classifier_dropout": null,
8
  "eos_token_id": 1,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 256,
12
  "initializer_range": 0.02,
13
+ "intermediate_size": 2048,
14
+ "layer_norm_eps": 1e-05,
15
+ "mask_token_id": 4,
16
+ "max_position_embeddings": 512,
17
+ "model_type": "roberta",
18
+ "num_attention_heads": 8,
19
+ "num_hidden_layers": 8,
20
+ "pad_token_id": 1,
21
+ "position_embedding_type": "absolute",
22
+ "tie_word_embeddings": false,
 
 
 
 
 
 
 
23
  "torch_dtype": "float32",
24
  "transformers_version": "4.45.2",
25
+ "type_vocab_size": 2,
26
  "use_cache": true,
27
  "vocab_size": 8192
28
  }
checkpoint-48000/model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:164fbb8f0f3a7eea35ce7bec29603bcbee094a9ca3ebfd3a29864ea885b13725
3
- size 51007160
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:62df0653a390d2d79aa47e068c9eb17a124520fb53a337412cc1ce6fa3f7a74d
3
+ size 59702184
checkpoint-48000/optimizer.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:19306f96fa43a250e4132cb456fb02661d2d885382fc534c93c1db1cdbf2c1f5
3
- size 102078202
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ec25caa0096cc93905b8bb210e4ff3efd1fab0a4915988b55d515a9e6731716
3
+ size 119488058
checkpoint-48000/rng_state.pth CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:541ff47240c4cc6f212d480c4cfcc4cbac6b05d9fe027f6be239c2bb418ab7c8
3
  size 14244
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6153950ed13f39be85e0f395b83eb2d62ae0fd50d2a1dac9a141c3d2f133b0fb
3
  size 14244
checkpoint-48000/scheduler.pt CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:cbe06da11b5cdd588d1873d9c23d587ee65f6dc8da7f1c18f378e311101e73bb
3
  size 1000
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:27393a53852a74079c71db37b8fa4a5345694eeb5f709b6db29dcd6c216dc42d
3
  size 1000
checkpoint-48000/special_tokens_map.json CHANGED
@@ -23,7 +23,13 @@
23
  "rstrip": false,
24
  "single_word": false
25
  },
26
- "pad_token": "</s>",
 
 
 
 
 
 
27
  "unk_token": {
28
  "content": "<unk>",
29
  "lstrip": false,
 
23
  "rstrip": false,
24
  "single_word": false
25
  },
26
+ "pad_token": {
27
+ "content": "<pad>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
  "unk_token": {
34
  "content": "<unk>",
35
  "lstrip": false,
checkpoint-48000/tokenizer_config.json CHANGED
@@ -57,7 +57,7 @@
57
  "eos_token": "</s>",
58
  "mask_token": "<mask>",
59
  "model_max_length": 128,
60
- "pad_token": "</s>",
61
  "tokenizer_class": "PreTrainedTokenizerFast",
62
  "unk_token": "<unk>"
63
  }
 
57
  "eos_token": "</s>",
58
  "mask_token": "<mask>",
59
  "model_max_length": 128,
60
+ "pad_token": "<pad>",
61
  "tokenizer_class": "PreTrainedTokenizerFast",
62
  "unk_token": "<unk>"
63
  }
checkpoint-48000/trainer_state.json CHANGED
@@ -1,7 +1,7 @@
1
  {
2
- "best_metric": 3.9572436809539795,
3
- "best_model_checkpoint": "/home/p318482/babyLM_controlled/models_trained_last/de_clm/de_childes_42/checkpoint-48000",
4
- "epoch": 36.0495681562148,
5
  "eval_steps": 2000,
6
  "global_step": 48000,
7
  "is_hyper_param_search": false,
@@ -10,278 +10,278 @@
10
  "log_history": [
11
  {
12
  "epoch": 1.5020653398422832,
13
- "eval_loss": 7.03363037109375,
14
- "eval_runtime": 3.6768,
15
- "eval_samples_per_second": 902.97,
16
- "eval_steps_per_second": 56.572,
17
  "step": 2000
18
  },
19
  {
20
  "epoch": 3.0041306796845664,
21
- "grad_norm": 1.6605541706085205,
22
  "learning_rate": 1e-05,
23
- "loss": 6.9417,
24
  "step": 4000
25
  },
26
  {
27
  "epoch": 3.0041306796845664,
28
- "eval_loss": 5.811168670654297,
29
- "eval_runtime": 3.7246,
30
- "eval_samples_per_second": 891.378,
31
- "eval_steps_per_second": 55.845,
32
  "step": 4000
33
  },
34
  {
35
  "epoch": 4.50619601952685,
36
- "eval_loss": 5.458603382110596,
37
- "eval_runtime": 3.8082,
38
- "eval_samples_per_second": 871.804,
39
- "eval_steps_per_second": 54.619,
40
  "step": 6000
41
  },
42
  {
43
  "epoch": 6.008261359369133,
44
- "grad_norm": 2.27949595451355,
45
  "learning_rate": 2e-05,
46
- "loss": 5.2077,
47
  "step": 8000
48
  },
49
  {
50
  "epoch": 6.008261359369133,
51
- "eval_loss": 5.171741008758545,
52
- "eval_runtime": 3.8003,
53
- "eval_samples_per_second": 873.606,
54
- "eval_steps_per_second": 54.732,
55
  "step": 8000
56
  },
57
  {
58
  "epoch": 7.510326699211416,
59
- "eval_loss": 4.9582695960998535,
60
- "eval_runtime": 3.7933,
61
- "eval_samples_per_second": 875.227,
62
- "eval_steps_per_second": 54.834,
63
  "step": 10000
64
  },
65
  {
66
  "epoch": 9.0123920390537,
67
- "grad_norm": 2.439126491546631,
68
- "learning_rate": 2.9995e-05,
69
- "loss": 4.7315,
70
  "step": 12000
71
  },
72
  {
73
  "epoch": 9.0123920390537,
74
- "eval_loss": 4.800222873687744,
75
- "eval_runtime": 3.705,
76
- "eval_samples_per_second": 896.095,
77
- "eval_steps_per_second": 56.141,
78
  "step": 12000
79
  },
80
  {
81
  "epoch": 10.514457378895981,
82
- "eval_loss": 4.670550346374512,
83
- "eval_runtime": 3.7395,
84
- "eval_samples_per_second": 887.823,
85
- "eval_steps_per_second": 55.623,
86
  "step": 14000
87
  },
88
  {
89
  "epoch": 12.016522718738265,
90
- "grad_norm": 2.3431427478790283,
91
- "learning_rate": 3.999e-05,
92
- "loss": 4.4253,
93
  "step": 16000
94
  },
95
  {
96
  "epoch": 12.016522718738265,
97
- "eval_loss": 4.555232524871826,
98
- "eval_runtime": 3.7089,
99
- "eval_samples_per_second": 895.14,
100
- "eval_steps_per_second": 56.081,
101
  "step": 16000
102
  },
103
  {
104
  "epoch": 13.518588058580548,
105
- "eval_loss": 4.4522013664245605,
106
- "eval_runtime": 3.4306,
107
- "eval_samples_per_second": 967.764,
108
- "eval_steps_per_second": 60.631,
109
  "step": 18000
110
  },
111
  {
112
  "epoch": 15.020653398422832,
113
- "grad_norm": 2.3183419704437256,
114
- "learning_rate": 4.9985e-05,
115
- "loss": 4.1962,
116
  "step": 20000
117
  },
118
  {
119
  "epoch": 15.020653398422832,
120
- "eval_loss": 4.373892784118652,
121
- "eval_runtime": 3.1907,
122
- "eval_samples_per_second": 1040.508,
123
- "eval_steps_per_second": 65.188,
124
  "step": 20000
125
  },
126
  {
127
  "epoch": 16.522718738265116,
128
- "eval_loss": 4.292479515075684,
129
- "eval_runtime": 3.6404,
130
- "eval_samples_per_second": 911.984,
131
- "eval_steps_per_second": 57.136,
132
  "step": 22000
133
  },
134
  {
135
  "epoch": 18.0247840781074,
136
- "grad_norm": 2.1154417991638184,
137
- "learning_rate": 5.9980000000000005e-05,
138
- "loss": 4.0105,
139
  "step": 24000
140
  },
141
  {
142
  "epoch": 18.0247840781074,
143
- "eval_loss": 4.227701663970947,
144
- "eval_runtime": 3.6867,
145
- "eval_samples_per_second": 900.545,
146
- "eval_steps_per_second": 56.42,
147
  "step": 24000
148
  },
149
  {
150
  "epoch": 19.52684941794968,
151
- "eval_loss": 4.170625686645508,
152
- "eval_runtime": 3.5669,
153
- "eval_samples_per_second": 930.781,
154
- "eval_steps_per_second": 58.314,
155
  "step": 26000
156
  },
157
  {
158
  "epoch": 21.028914757791963,
159
- "grad_norm": 2.051388740539551,
160
- "learning_rate": 6.997500000000001e-05,
161
- "loss": 3.857,
162
  "step": 28000
163
  },
164
  {
165
  "epoch": 21.028914757791963,
166
- "eval_loss": 4.124534606933594,
167
- "eval_runtime": 3.7721,
168
- "eval_samples_per_second": 880.155,
169
- "eval_steps_per_second": 55.142,
170
  "step": 28000
171
  },
172
  {
173
  "epoch": 22.53098009763425,
174
- "eval_loss": 4.084589004516602,
175
- "eval_runtime": 3.7783,
176
- "eval_samples_per_second": 878.7,
177
- "eval_steps_per_second": 55.051,
178
  "step": 30000
179
  },
180
  {
181
  "epoch": 24.03304543747653,
182
- "grad_norm": 1.966176986694336,
183
- "learning_rate": 7.997e-05,
184
- "loss": 3.7298,
185
  "step": 32000
186
  },
187
  {
188
  "epoch": 24.03304543747653,
189
- "eval_loss": 4.058874130249023,
190
- "eval_runtime": 3.6613,
191
- "eval_samples_per_second": 906.785,
192
- "eval_steps_per_second": 56.811,
193
  "step": 32000
194
  },
195
  {
196
  "epoch": 25.535110777318813,
197
- "eval_loss": 4.026635646820068,
198
- "eval_runtime": 3.722,
199
- "eval_samples_per_second": 891.982,
200
- "eval_steps_per_second": 55.883,
201
  "step": 34000
202
  },
203
  {
204
  "epoch": 27.037176117161096,
205
- "grad_norm": 1.8346107006072998,
206
- "learning_rate": 8.9965e-05,
207
- "loss": 3.6218,
208
  "step": 36000
209
  },
210
  {
211
  "epoch": 27.037176117161096,
212
- "eval_loss": 4.0028157234191895,
213
- "eval_runtime": 3.7484,
214
- "eval_samples_per_second": 885.713,
215
- "eval_steps_per_second": 55.49,
216
  "step": 36000
217
  },
218
  {
219
- "epoch": 28.539241457003378,
220
- "eval_loss": 3.986341953277588,
221
- "eval_runtime": 3.7709,
222
- "eval_samples_per_second": 880.423,
223
- "eval_steps_per_second": 55.159,
224
  "step": 38000
225
  },
226
  {
227
- "epoch": 30.041306796845664,
228
- "grad_norm": 1.8153942823410034,
229
- "learning_rate": 9.996000000000001e-05,
230
- "loss": 3.5278,
231
  "step": 40000
232
  },
233
  {
234
- "epoch": 30.041306796845664,
235
- "eval_loss": 3.9731833934783936,
236
- "eval_runtime": 3.8054,
237
- "eval_samples_per_second": 872.434,
238
- "eval_steps_per_second": 54.659,
239
  "step": 40000
240
  },
241
  {
242
- "epoch": 31.543372136687946,
243
- "eval_loss": 3.971970796585083,
244
- "eval_runtime": 3.6892,
245
- "eval_samples_per_second": 899.912,
246
- "eval_steps_per_second": 56.38,
247
  "step": 42000
248
  },
249
  {
250
- "epoch": 33.04543747653023,
251
- "grad_norm": 1.8285443782806396,
252
- "learning_rate": 9.336333333333334e-05,
253
- "loss": 3.4351,
254
  "step": 44000
255
  },
256
  {
257
- "epoch": 33.04543747653023,
258
- "eval_loss": 3.9599227905273438,
259
- "eval_runtime": 3.7507,
260
- "eval_samples_per_second": 885.169,
261
- "eval_steps_per_second": 55.456,
262
  "step": 44000
263
  },
264
  {
265
- "epoch": 34.547502816372514,
266
- "eval_loss": 3.9566261768341064,
267
- "eval_runtime": 3.754,
268
- "eval_samples_per_second": 884.394,
269
- "eval_steps_per_second": 55.408,
270
  "step": 46000
271
  },
272
  {
273
- "epoch": 36.0495681562148,
274
- "grad_norm": 1.853183627128601,
275
- "learning_rate": 8.67e-05,
276
- "loss": 3.3444,
277
  "step": 48000
278
  },
279
  {
280
- "epoch": 36.0495681562148,
281
- "eval_loss": 3.9572436809539795,
282
- "eval_runtime": 3.6948,
283
- "eval_samples_per_second": 898.558,
284
- "eval_steps_per_second": 56.295,
285
  "step": 48000
286
  }
287
  ],
@@ -302,7 +302,7 @@
302
  "attributes": {}
303
  }
304
  },
305
- "total_flos": 1.2408852815683584e+16,
306
  "train_batch_size": 16,
307
  "trial_name": null,
308
  "trial_params": null
 
1
  {
2
+ "best_metric": 3.1864311695098877,
3
+ "best_model_checkpoint": "/home/p318482/babyLM_controlled/models_trained_last/de_mlm/de_childes_42/checkpoint-48000",
4
+ "epoch": 36.05970709725873,
5
  "eval_steps": 2000,
6
  "global_step": 48000,
7
  "is_hyper_param_search": false,
 
10
  "log_history": [
11
  {
12
  "epoch": 1.5020653398422832,
13
+ "eval_loss": 7.505205154418945,
14
+ "eval_runtime": 4.9012,
15
+ "eval_samples_per_second": 677.383,
16
+ "eval_steps_per_second": 42.438,
17
  "step": 2000
18
  },
19
  {
20
  "epoch": 3.0041306796845664,
21
+ "grad_norm": 1.3569484949111938,
22
  "learning_rate": 1e-05,
23
+ "loss": 7.4063,
24
  "step": 4000
25
  },
26
  {
27
  "epoch": 3.0041306796845664,
28
+ "eval_loss": 6.433775901794434,
29
+ "eval_runtime": 4.7916,
30
+ "eval_samples_per_second": 692.873,
31
+ "eval_steps_per_second": 43.409,
32
  "step": 4000
33
  },
34
  {
35
  "epoch": 4.50619601952685,
36
+ "eval_loss": 6.305135250091553,
37
+ "eval_runtime": 4.8722,
38
+ "eval_samples_per_second": 681.421,
39
+ "eval_steps_per_second": 42.691,
40
  "step": 6000
41
  },
42
  {
43
  "epoch": 6.008261359369133,
44
+ "grad_norm": 1.548327088356018,
45
  "learning_rate": 2e-05,
46
+ "loss": 6.0672,
47
  "step": 8000
48
  },
49
  {
50
  "epoch": 6.008261359369133,
51
+ "eval_loss": 6.1662516593933105,
52
+ "eval_runtime": 4.8572,
53
+ "eval_samples_per_second": 683.527,
54
+ "eval_steps_per_second": 42.823,
55
  "step": 8000
56
  },
57
  {
58
  "epoch": 7.510326699211416,
59
+ "eval_loss": 6.095215797424316,
60
+ "eval_runtime": 4.7932,
61
+ "eval_samples_per_second": 692.655,
62
+ "eval_steps_per_second": 43.395,
63
  "step": 10000
64
  },
65
  {
66
  "epoch": 9.0123920390537,
67
+ "grad_norm": 1.639375925064087,
68
+ "learning_rate": 3e-05,
69
+ "loss": 5.8691,
70
  "step": 12000
71
  },
72
  {
73
  "epoch": 9.0123920390537,
74
+ "eval_loss": 6.0121965408325195,
75
+ "eval_runtime": 4.8217,
76
+ "eval_samples_per_second": 688.56,
77
+ "eval_steps_per_second": 43.139,
78
  "step": 12000
79
  },
80
  {
81
  "epoch": 10.514457378895981,
82
+ "eval_loss": 5.951181888580322,
83
+ "eval_runtime": 4.7668,
84
+ "eval_samples_per_second": 696.478,
85
+ "eval_steps_per_second": 43.635,
86
  "step": 14000
87
  },
88
  {
89
  "epoch": 12.016522718738265,
90
+ "grad_norm": 1.6758147478103638,
91
+ "learning_rate": 4e-05,
92
+ "loss": 5.7209,
93
  "step": 16000
94
  },
95
  {
96
  "epoch": 12.016522718738265,
97
+ "eval_loss": 5.869147300720215,
98
+ "eval_runtime": 4.6953,
99
+ "eval_samples_per_second": 707.092,
100
+ "eval_steps_per_second": 44.3,
101
  "step": 16000
102
  },
103
  {
104
  "epoch": 13.518588058580548,
105
+ "eval_loss": 5.852941513061523,
106
+ "eval_runtime": 4.8028,
107
+ "eval_samples_per_second": 691.267,
108
+ "eval_steps_per_second": 43.308,
109
  "step": 18000
110
  },
111
  {
112
  "epoch": 15.020653398422832,
113
+ "grad_norm": 2.3887548446655273,
114
+ "learning_rate": 5e-05,
115
+ "loss": 5.6105,
116
  "step": 20000
117
  },
118
  {
119
  "epoch": 15.020653398422832,
120
+ "eval_loss": 5.796474933624268,
121
+ "eval_runtime": 4.7859,
122
+ "eval_samples_per_second": 693.704,
123
+ "eval_steps_per_second": 43.461,
124
  "step": 20000
125
  },
126
  {
127
  "epoch": 16.522718738265116,
128
+ "eval_loss": 5.740424156188965,
129
+ "eval_runtime": 4.6987,
130
+ "eval_samples_per_second": 706.584,
131
+ "eval_steps_per_second": 44.268,
132
  "step": 22000
133
  },
134
  {
135
  "epoch": 18.0247840781074,
136
+ "grad_norm": 4.52785587310791,
137
+ "learning_rate": 6e-05,
138
+ "loss": 5.5302,
139
  "step": 24000
140
  },
141
  {
142
  "epoch": 18.0247840781074,
143
+ "eval_loss": 5.742419719696045,
144
+ "eval_runtime": 3.8111,
145
+ "eval_samples_per_second": 871.137,
146
+ "eval_steps_per_second": 54.577,
147
  "step": 24000
148
  },
149
  {
150
  "epoch": 19.52684941794968,
151
+ "eval_loss": 5.7255754470825195,
152
+ "eval_runtime": 2.6268,
153
+ "eval_samples_per_second": 1263.889,
154
+ "eval_steps_per_second": 79.183,
155
  "step": 26000
156
  },
157
  {
158
  "epoch": 21.028914757791963,
159
+ "grad_norm": 4.69941520690918,
160
+ "learning_rate": 7e-05,
161
+ "loss": 5.4587,
162
  "step": 28000
163
  },
164
  {
165
  "epoch": 21.028914757791963,
166
+ "eval_loss": 5.6831231117248535,
167
+ "eval_runtime": 2.5816,
168
+ "eval_samples_per_second": 1286.034,
169
+ "eval_steps_per_second": 80.571,
170
  "step": 28000
171
  },
172
  {
173
  "epoch": 22.53098009763425,
174
+ "eval_loss": 5.396602153778076,
175
+ "eval_runtime": 2.6907,
176
+ "eval_samples_per_second": 1233.859,
177
+ "eval_steps_per_second": 77.302,
178
  "step": 30000
179
  },
180
  {
181
  "epoch": 24.03304543747653,
182
+ "grad_norm": 5.43873929977417,
183
+ "learning_rate": 8e-05,
184
+ "loss": 5.0899,
185
  "step": 32000
186
  },
187
  {
188
  "epoch": 24.03304543747653,
189
+ "eval_loss": 4.704195022583008,
190
+ "eval_runtime": 2.6893,
191
+ "eval_samples_per_second": 1234.521,
192
+ "eval_steps_per_second": 77.343,
193
  "step": 32000
194
  },
195
  {
196
  "epoch": 25.535110777318813,
197
+ "eval_loss": 4.2316813468933105,
198
+ "eval_runtime": 4.2325,
199
+ "eval_samples_per_second": 784.414,
200
+ "eval_steps_per_second": 49.144,
201
  "step": 34000
202
  },
203
  {
204
  "epoch": 27.037176117161096,
205
+ "grad_norm": 4.492648124694824,
206
+ "learning_rate": 9e-05,
207
+ "loss": 4.0988,
208
  "step": 36000
209
  },
210
  {
211
  "epoch": 27.037176117161096,
212
+ "eval_loss": 3.90928316116333,
213
+ "eval_runtime": 4.8525,
214
+ "eval_samples_per_second": 684.177,
215
+ "eval_steps_per_second": 42.864,
216
  "step": 36000
217
  },
218
  {
219
+ "epoch": 28.549380398047315,
220
+ "eval_loss": 3.749643564224243,
221
+ "eval_runtime": 4.8877,
222
+ "eval_samples_per_second": 679.256,
223
+ "eval_steps_per_second": 42.556,
224
  "step": 38000
225
  },
226
  {
227
+ "epoch": 30.051445737889598,
228
+ "grad_norm": 4.555140018463135,
229
+ "learning_rate": 0.0001,
230
+ "loss": 3.555,
231
  "step": 40000
232
  },
233
  {
234
+ "epoch": 30.051445737889598,
235
+ "eval_loss": 3.5960817337036133,
236
+ "eval_runtime": 4.777,
237
+ "eval_samples_per_second": 695.0,
238
+ "eval_steps_per_second": 43.542,
239
  "step": 40000
240
  },
241
  {
242
+ "epoch": 31.55351107773188,
243
+ "eval_loss": 3.454169988632202,
244
+ "eval_runtime": 4.8006,
245
+ "eval_samples_per_second": 691.578,
246
+ "eval_steps_per_second": 43.328,
247
  "step": 42000
248
  },
249
  {
250
+ "epoch": 33.055576417574166,
251
+ "grad_norm": 4.173329830169678,
252
+ "learning_rate": 9.333333333333334e-05,
253
+ "loss": 3.2522,
254
  "step": 44000
255
  },
256
  {
257
+ "epoch": 33.055576417574166,
258
+ "eval_loss": 3.3299686908721924,
259
+ "eval_runtime": 4.544,
260
+ "eval_samples_per_second": 730.638,
261
+ "eval_steps_per_second": 45.775,
262
  "step": 44000
263
  },
264
  {
265
+ "epoch": 34.55764175741645,
266
+ "eval_loss": 3.2829904556274414,
267
+ "eval_runtime": 4.8645,
268
+ "eval_samples_per_second": 682.495,
269
+ "eval_steps_per_second": 42.759,
270
  "step": 46000
271
  },
272
  {
273
+ "epoch": 36.05970709725873,
274
+ "grad_norm": 4.994029521942139,
275
+ "learning_rate": 8.666666666666667e-05,
276
+ "loss": 3.0484,
277
  "step": 48000
278
  },
279
  {
280
+ "epoch": 36.05970709725873,
281
+ "eval_loss": 3.1864311695098877,
282
+ "eval_runtime": 4.5673,
283
+ "eval_samples_per_second": 726.907,
284
+ "eval_steps_per_second": 45.541,
285
  "step": 48000
286
  }
287
  ],
 
302
  "attributes": {}
303
  }
304
  },
305
+ "total_flos": 1.4970153206808576e+16,
306
  "train_batch_size": 16,
307
  "trial_name": null,
308
  "trial_params": null
checkpoint-48000/training_args.bin CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:77f63c790664816f6ed91c4986d1e19906c6b86d33dddcf3c8935838a9bb688c
3
- size 5368
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:977cda690c0a8825ee003e5fad5dfe7020c0f0650747f283a88b45076025d0cf
3
+ size 5432