Hugging Face's logo

pritamdeka
/
muril-base-cased-assamese

Fill-Mask
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
muril-base-cased-assamese
File size: 7,146 Bytes 
24aa96d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
 
{
  "best_metric": 0.7026871898897578,
  "best_model_checkpoint": "/content/temp_assamese/checkpoint-28000",
  "epoch": 2.0,
  "eval_steps": 2000,
  "global_step": 28386,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.14091453533431975,
      "grad_norm": 12.538192749023438,
      "learning_rate": 4.648418234340873e-05,
      "loss": 2.2163,
      "step": 2000
    },
    {
      "epoch": 0.14091453533431975,
      "eval_accuracy": 0.6319857833787309,
      "eval_loss": 1.8646236658096313,
      "eval_runtime": 102.3117,
      "eval_samples_per_second": 116.966,
      "eval_steps_per_second": 7.311,
      "step": 2000
    },
    {
      "epoch": 0.2818290706686395,
      "grad_norm": 12.645801544189453,
      "learning_rate": 4.296131896005073e-05,
      "loss": 1.9456,
      "step": 4000
    },
    {
      "epoch": 0.2818290706686395,
      "eval_accuracy": 0.6494802758779904,
      "eval_loss": 1.749164342880249,
      "eval_runtime": 102.5618,
      "eval_samples_per_second": 116.681,
      "eval_steps_per_second": 7.293,
      "step": 4000
    },
    {
      "epoch": 0.4227436060029592,
      "grad_norm": 9.79688835144043,
      "learning_rate": 3.943845557669274e-05,
      "loss": 1.8391,
      "step": 6000
    },
    {
      "epoch": 0.4227436060029592,
      "eval_accuracy": 0.6606430993204072,
      "eval_loss": 1.6770141124725342,
      "eval_runtime": 102.5061,
      "eval_samples_per_second": 116.744,
      "eval_steps_per_second": 7.297,
      "step": 6000
    },
    {
      "epoch": 0.563658141337279,
      "grad_norm": 10.446520805358887,
      "learning_rate": 3.5917353625026426e-05,
      "loss": 1.7704,
      "step": 8000
    },
    {
      "epoch": 0.563658141337279,
      "eval_accuracy": 0.6706733344622967,
      "eval_loss": 1.6165672540664673,
      "eval_runtime": 102.6569,
      "eval_samples_per_second": 116.573,
      "eval_steps_per_second": 7.286,
      "step": 8000
    },
    {
      "epoch": 0.7045726766715987,
      "grad_norm": 9.16817569732666,
      "learning_rate": 3.23962516733601e-05,
      "loss": 1.7213,
      "step": 10000
    },
    {
      "epoch": 0.7045726766715987,
      "eval_accuracy": 0.6759152415500662,
      "eval_loss": 1.5817841291427612,
      "eval_runtime": 102.3347,
      "eval_samples_per_second": 116.94,
      "eval_steps_per_second": 7.309,
      "step": 10000
    },
    {
      "epoch": 0.8454872120059184,
      "grad_norm": 9.296396255493164,
      "learning_rate": 2.8875149721693794e-05,
      "loss": 1.6802,
      "step": 12000
    },
    {
      "epoch": 0.8454872120059184,
      "eval_accuracy": 0.6820033844378066,
      "eval_loss": 1.5402722358703613,
      "eval_runtime": 102.6712,
      "eval_samples_per_second": 116.557,
      "eval_steps_per_second": 7.285,
      "step": 12000
    },
    {
      "epoch": 0.9864017473402381,
      "grad_norm": 7.622576713562012,
      "learning_rate": 2.5354047770027478e-05,
      "loss": 1.6432,
      "step": 14000
    },
    {
      "epoch": 0.9864017473402381,
      "eval_accuracy": 0.6857634747617221,
      "eval_loss": 1.5153496265411377,
      "eval_runtime": 102.6162,
      "eval_samples_per_second": 116.619,
      "eval_steps_per_second": 7.289,
      "step": 14000
    },
    {
      "epoch": 1.127316282674558,
      "grad_norm": 11.516377449035645,
      "learning_rate": 2.1832945818361165e-05,
      "loss": 1.6074,
      "step": 16000
    },
    {
      "epoch": 1.127316282674558,
      "eval_accuracy": 0.6885159496543541,
      "eval_loss": 1.496454119682312,
      "eval_runtime": 102.8787,
      "eval_samples_per_second": 116.321,
      "eval_steps_per_second": 7.271,
      "step": 16000
    },
    {
      "epoch": 1.2682308180088775,
      "grad_norm": 9.480605125427246,
      "learning_rate": 1.831008243500317e-05,
      "loss": 1.5833,
      "step": 18000
    },
    {
      "epoch": 1.2682308180088775,
      "eval_accuracy": 0.6934179945828158,
      "eval_loss": 1.4677945375442505,
      "eval_runtime": 102.7153,
      "eval_samples_per_second": 116.506,
      "eval_steps_per_second": 7.282,
      "step": 18000
    },
    {
      "epoch": 1.4091453533431975,
      "grad_norm": 8.643658638000488,
      "learning_rate": 1.4788980483336856e-05,
      "loss": 1.5649,
      "step": 20000
    },
    {
      "epoch": 1.4091453533431975,
      "eval_accuracy": 0.6950099353567151,
      "eval_loss": 1.4508079290390015,
      "eval_runtime": 102.6391,
      "eval_samples_per_second": 116.593,
      "eval_steps_per_second": 7.288,
      "step": 20000
    },
    {
      "epoch": 1.550059888677517,
      "grad_norm": 7.6539506912231445,
      "learning_rate": 1.1267878531670542e-05,
      "loss": 1.553,
      "step": 22000
    },
    {
      "epoch": 1.550059888677517,
      "eval_accuracy": 0.698540482055296,
      "eval_loss": 1.436693787574768,
      "eval_runtime": 102.5486,
      "eval_samples_per_second": 116.696,
      "eval_steps_per_second": 7.294,
      "step": 22000
    },
    {
      "epoch": 1.690974424011837,
      "grad_norm": 8.063584327697754,
      "learning_rate": 7.746776580004228e-06,
      "loss": 1.5345,
      "step": 24000
    },
    {
      "epoch": 1.690974424011837,
      "eval_accuracy": 0.7001222876777317,
      "eval_loss": 1.4230775833129883,
      "eval_runtime": 102.8829,
      "eval_samples_per_second": 116.317,
      "eval_steps_per_second": 7.27,
      "step": 24000
    },
    {
      "epoch": 1.8318889593461565,
      "grad_norm": 8.720465660095215,
      "learning_rate": 4.2256746283379135e-06,
      "loss": 1.5261,
      "step": 26000
    },
    {
      "epoch": 1.8318889593461565,
      "eval_accuracy": 0.701337358949075,
      "eval_loss": 1.4157360792160034,
      "eval_runtime": 102.7046,
      "eval_samples_per_second": 116.519,
      "eval_steps_per_second": 7.283,
      "step": 26000
    },
    {
      "epoch": 1.9728034946804764,
      "grad_norm": 9.144937515258789,
      "learning_rate": 7.045726766715987e-07,
      "loss": 1.5148,
      "step": 28000
    },
    {
      "epoch": 1.9728034946804764,
      "eval_accuracy": 0.7026871898897578,
      "eval_loss": 1.4097787141799927,
      "eval_runtime": 102.5398,
      "eval_samples_per_second": 116.706,
      "eval_steps_per_second": 7.295,
      "step": 28000
    },
    {
      "epoch": 2.0,
      "step": 28386,
      "total_flos": 1.197729267088466e+17,
      "train_loss": 1.6903211268009264,
      "train_runtime": 8975.6005,
      "train_samples_per_second": 50.601,
      "train_steps_per_second": 3.163
    }
  ],
  "logging_steps": 2000,
  "max_steps": 28386,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 2,
  "save_steps": 2000,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.197729267088466e+17,
  "train_batch_size": 16,
  "trial_name": null,
  "trial_params": null
}