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Scrya
/
whisper-medium-ms

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Malay
whisper
whisper-event
Generated from Trainer
Eval Results
Model card Files
xet
Metrics Community
1
Scrya commited on
Commit
c24737a
·
1 Parent(s): ae31109

Training in progress, step 2000

Browse files
Files changed (4) hide show
  1. .ipynb_checkpoints/fine-tune-whisper-non-streaming-fleurs-ms-checkpoint.ipynb +739 -3
  2. fine-tune-whisper-non-streaming-fleurs-ms.ipynb +16 -10
  3. pytorch_model.bin +1 -1
  4. runs/Dec16_12-04-12_129-213-26-202/events.out.tfevents.1671192266.129-213-26-202.127891.0 +2 -2
.ipynb_checkpoints/fine-tune-whisper-non-streaming-fleurs-ms-checkpoint.ipynb CHANGED
@@ -2711,7 +2711,8 @@
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- "id": "ee8b7b8e-1c9a-4d77-9137-1778a629e6de"
 
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  },
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  "outputs": [
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  {
@@ -2737,8 +2738,8 @@
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  "\n",
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  " <div>\n",
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  " \n",
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- " <progress value='9' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
2741
- " [ 9/5000 00:47 < 9:19:01, 0.15 it/s, Epoch 0.09/54]\n",
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  " </div>\n",
2743
  " <table border=\"1\" class=\"dataframe\">\n",
2744
  " <thead>\n",
@@ -2746,9 +2747,16 @@
2746
  " <th>Step</th>\n",
2747
  " <th>Training Loss</th>\n",
2748
  " <th>Validation Loss</th>\n",
 
2749
  " </tr>\n",
2750
  " </thead>\n",
2751
  " <tbody>\n",
 
 
 
 
 
 
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  " </tbody>\n",
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  "</table><p>"
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  ],
@@ -2758,6 +2766,734 @@
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  },
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  "metadata": {},
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  "output_type": "display_data"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  }
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  ],
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  "source": [
 
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  "id": "ee8b7b8e-1c9a-4d77-9137-1778a629e6de",
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  "metadata": {
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+ "id": "ee8b7b8e-1c9a-4d77-9137-1778a629e6de",
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+ "scrolled": false
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  },
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  "outputs": [
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  {
 
2738
  "\n",
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  " <div>\n",
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  " \n",
2741
+ " <progress value='1014' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
2742
+ " [1014/5000 2:09:20 < 8:29:26, 0.13 it/s, Epoch 10.78/54]\n",
2743
  " </div>\n",
2744
  " <table border=\"1\" class=\"dataframe\">\n",
2745
  " <thead>\n",
 
2747
  " <th>Step</th>\n",
2748
  " <th>Training Loss</th>\n",
2749
  " <th>Validation Loss</th>\n",
2750
+ " <th>Wer</th>\n",
2751
  " </tr>\n",
2752
  " </thead>\n",
2753
  " <tbody>\n",
2754
+ " <tr>\n",
2755
+ " <td>1000</td>\n",
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+ " <td>0.002400</td>\n",
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+ " <td>0.243783</td>\n",
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+ " <td>10.344360</td>\n",
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+ " </tr>\n",
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  " </tbody>\n",
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  "</table><p>"
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  ],
 
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  },
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  "metadata": {},
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  "output_type": "display_data"
2769
+ },
2770
+ {
2771
+ "name": "stderr",
2772
+ "output_type": "stream",
2773
+ "text": [
2774
+ "The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message.\n",
2775
+ "***** Running Evaluation *****\n",
2776
+ " Num examples = 749\n",
2777
+ " Batch size = 16\n",
2778
+ "Generate config GenerationConfig {\n",
2779
+ " \"begin_suppress_tokens\": [\n",
2780
+ " 220,\n",
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+ " 50257\n",
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+ " ],\n",
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+ " \"bos_token_id\": 50257,\n",
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+ " \"decoder_start_token_id\": 50258,\n",
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+ " \"eos_token_id\": 50257,\n",
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+ " \"max_length\": 448,\n",
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+ " \"pad_token_id\": 50257,\n",
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+ " \"suppress_tokens\": [],\n",
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+ " \"transformers_version\": \"4.26.0.dev0\",\n",
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+ " \"use_cache\": false\n",
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+ "}\n",
2792
+ "\n",
2793
+ "/home/ubuntu/hf_env/lib/python3.8/site-packages/transformers/generation/utils.py:1134: UserWarning: You have modified the pretrained model configuration to control generation. This is a deprecated strategy to control generation and will be removed soon, in a future version. Please use a generation configuration file (see https://huggingface.co/docs/transformers/main_classes/text_generation)\n",
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+ " warnings.warn(\n",
2795
+ "Generate config GenerationConfig {\n",
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+ " \"begin_suppress_tokens\": [\n",
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+ " 220,\n",
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+ " 50257\n",
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+ " ],\n",
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+ " \"use_cache\": false\n",
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+ "\n",
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+ "Generate config GenerationConfig {\n",
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+ "\n",
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+ "Generate config GenerationConfig {\n",
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+ " ],\n",
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3116
+ " \"decoder_start_token_id\": 50258,\n",
3117
+ " \"eos_token_id\": 50257,\n",
3118
+ " \"max_length\": 448,\n",
3119
+ " \"pad_token_id\": 50257,\n",
3120
+ " \"suppress_tokens\": [],\n",
3121
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3122
+ " \"use_cache\": false\n",
3123
+ "}\n",
3124
+ "\n",
3125
+ "Generate config GenerationConfig {\n",
3126
+ " \"begin_suppress_tokens\": [\n",
3127
+ " 220,\n",
3128
+ " 50257\n",
3129
+ " ],\n",
3130
+ " \"bos_token_id\": 50257,\n",
3131
+ " \"decoder_start_token_id\": 50258,\n",
3132
+ " \"eos_token_id\": 50257,\n",
3133
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3134
+ " \"pad_token_id\": 50257,\n",
3135
+ " \"suppress_tokens\": [],\n",
3136
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3137
+ " \"use_cache\": false\n",
3138
+ "}\n",
3139
+ "\n",
3140
+ "Generate config GenerationConfig {\n",
3141
+ " \"begin_suppress_tokens\": [\n",
3142
+ " 220,\n",
3143
+ " 50257\n",
3144
+ " ],\n",
3145
+ " \"bos_token_id\": 50257,\n",
3146
+ " \"decoder_start_token_id\": 50258,\n",
3147
+ " \"eos_token_id\": 50257,\n",
3148
+ " \"max_length\": 448,\n",
3149
+ " \"pad_token_id\": 50257,\n",
3150
+ " \"suppress_tokens\": [],\n",
3151
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3152
+ " \"use_cache\": false\n",
3153
+ "}\n",
3154
+ "\n"
3155
+ ]
3156
+ },
3157
+ {
3158
+ "name": "stderr",
3159
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3160
+ "text": [
3161
+ "Generate config GenerationConfig {\n",
3162
+ " \"begin_suppress_tokens\": [\n",
3163
+ " 220,\n",
3164
+ " 50257\n",
3165
+ " ],\n",
3166
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3167
+ " \"decoder_start_token_id\": 50258,\n",
3168
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3169
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3170
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3171
+ " \"suppress_tokens\": [],\n",
3172
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3173
+ " \"use_cache\": false\n",
3174
+ "}\n",
3175
+ "\n",
3176
+ "Generate config GenerationConfig {\n",
3177
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3178
+ " 220,\n",
3179
+ " 50257\n",
3180
+ " ],\n",
3181
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3182
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3183
+ " \"eos_token_id\": 50257,\n",
3184
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3185
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3186
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3187
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3188
+ " \"use_cache\": false\n",
3189
+ "}\n",
3190
+ "\n",
3191
+ "Generate config GenerationConfig {\n",
3192
+ " \"begin_suppress_tokens\": [\n",
3193
+ " 220,\n",
3194
+ " 50257\n",
3195
+ " ],\n",
3196
+ " \"bos_token_id\": 50257,\n",
3197
+ " \"decoder_start_token_id\": 50258,\n",
3198
+ " \"eos_token_id\": 50257,\n",
3199
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3200
+ " \"pad_token_id\": 50257,\n",
3201
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3202
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3203
+ " \"use_cache\": false\n",
3204
+ "}\n",
3205
+ "\n",
3206
+ "Generate config GenerationConfig {\n",
3207
+ " \"begin_suppress_tokens\": [\n",
3208
+ " 220,\n",
3209
+ " 50257\n",
3210
+ " ],\n",
3211
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3212
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3213
+ " \"eos_token_id\": 50257,\n",
3214
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3215
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3216
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3217
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3218
+ " \"use_cache\": false\n",
3219
+ "}\n",
3220
+ "\n",
3221
+ "Generate config GenerationConfig {\n",
3222
+ " \"begin_suppress_tokens\": [\n",
3223
+ " 220,\n",
3224
+ " 50257\n",
3225
+ " ],\n",
3226
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3227
+ " \"decoder_start_token_id\": 50258,\n",
3228
+ " \"eos_token_id\": 50257,\n",
3229
+ " \"max_length\": 448,\n",
3230
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3231
+ " \"suppress_tokens\": [],\n",
3232
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3233
+ " \"use_cache\": false\n",
3234
+ "}\n",
3235
+ "\n",
3236
+ "Generate config GenerationConfig {\n",
3237
+ " \"begin_suppress_tokens\": [\n",
3238
+ " 220,\n",
3239
+ " 50257\n",
3240
+ " ],\n",
3241
+ " \"bos_token_id\": 50257,\n",
3242
+ " \"decoder_start_token_id\": 50258,\n",
3243
+ " \"eos_token_id\": 50257,\n",
3244
+ " \"max_length\": 448,\n",
3245
+ " \"pad_token_id\": 50257,\n",
3246
+ " \"suppress_tokens\": [],\n",
3247
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3248
+ " \"use_cache\": false\n",
3249
+ "}\n",
3250
+ "\n",
3251
+ "Generate config GenerationConfig {\n",
3252
+ " \"begin_suppress_tokens\": [\n",
3253
+ " 220,\n",
3254
+ " 50257\n",
3255
+ " ],\n",
3256
+ " \"bos_token_id\": 50257,\n",
3257
+ " \"decoder_start_token_id\": 50258,\n",
3258
+ " \"eos_token_id\": 50257,\n",
3259
+ " \"max_length\": 448,\n",
3260
+ " \"pad_token_id\": 50257,\n",
3261
+ " \"suppress_tokens\": [],\n",
3262
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3263
+ " \"use_cache\": false\n",
3264
+ "}\n",
3265
+ "\n",
3266
+ "Generate config GenerationConfig {\n",
3267
+ " \"begin_suppress_tokens\": [\n",
3268
+ " 220,\n",
3269
+ " 50257\n",
3270
+ " ],\n",
3271
+ " \"bos_token_id\": 50257,\n",
3272
+ " \"decoder_start_token_id\": 50258,\n",
3273
+ " \"eos_token_id\": 50257,\n",
3274
+ " \"max_length\": 448,\n",
3275
+ " \"pad_token_id\": 50257,\n",
3276
+ " \"suppress_tokens\": [],\n",
3277
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3278
+ " \"use_cache\": false\n",
3279
+ "}\n",
3280
+ "\n",
3281
+ "Generate config GenerationConfig {\n",
3282
+ " \"begin_suppress_tokens\": [\n",
3283
+ " 220,\n",
3284
+ " 50257\n",
3285
+ " ],\n",
3286
+ " \"bos_token_id\": 50257,\n",
3287
+ " \"decoder_start_token_id\": 50258,\n",
3288
+ " \"eos_token_id\": 50257,\n",
3289
+ " \"max_length\": 448,\n",
3290
+ " \"pad_token_id\": 50257,\n",
3291
+ " \"suppress_tokens\": [],\n",
3292
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3293
+ " \"use_cache\": false\n",
3294
+ "}\n",
3295
+ "\n",
3296
+ "Generate config GenerationConfig {\n",
3297
+ " \"begin_suppress_tokens\": [\n",
3298
+ " 220,\n",
3299
+ " 50257\n",
3300
+ " ],\n",
3301
+ " \"bos_token_id\": 50257,\n",
3302
+ " \"decoder_start_token_id\": 50258,\n",
3303
+ " \"eos_token_id\": 50257,\n",
3304
+ " \"max_length\": 448,\n",
3305
+ " \"pad_token_id\": 50257,\n",
3306
+ " \"suppress_tokens\": [],\n",
3307
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3308
+ " \"use_cache\": false\n",
3309
+ "}\n",
3310
+ "\n",
3311
+ "Generate config GenerationConfig {\n",
3312
+ " \"begin_suppress_tokens\": [\n",
3313
+ " 220,\n",
3314
+ " 50257\n",
3315
+ " ],\n",
3316
+ " \"bos_token_id\": 50257,\n",
3317
+ " \"decoder_start_token_id\": 50258,\n",
3318
+ " \"eos_token_id\": 50257,\n",
3319
+ " \"max_length\": 448,\n",
3320
+ " \"pad_token_id\": 50257,\n",
3321
+ " \"suppress_tokens\": [],\n",
3322
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3323
+ " \"use_cache\": false\n",
3324
+ "}\n",
3325
+ "\n",
3326
+ "Generate config GenerationConfig {\n",
3327
+ " \"begin_suppress_tokens\": [\n",
3328
+ " 220,\n",
3329
+ " 50257\n",
3330
+ " ],\n",
3331
+ " \"bos_token_id\": 50257,\n",
3332
+ " \"decoder_start_token_id\": 50258,\n",
3333
+ " \"eos_token_id\": 50257,\n",
3334
+ " \"max_length\": 448,\n",
3335
+ " \"pad_token_id\": 50257,\n",
3336
+ " \"suppress_tokens\": [],\n",
3337
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3338
+ " \"use_cache\": false\n",
3339
+ "}\n",
3340
+ "\n",
3341
+ "Generate config GenerationConfig {\n",
3342
+ " \"begin_suppress_tokens\": [\n",
3343
+ " 220,\n",
3344
+ " 50257\n",
3345
+ " ],\n",
3346
+ " \"bos_token_id\": 50257,\n",
3347
+ " \"decoder_start_token_id\": 50258,\n",
3348
+ " \"eos_token_id\": 50257,\n",
3349
+ " \"max_length\": 448,\n",
3350
+ " \"pad_token_id\": 50257,\n",
3351
+ " \"suppress_tokens\": [],\n",
3352
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3353
+ " \"use_cache\": false\n",
3354
+ "}\n",
3355
+ "\n",
3356
+ "Generate config GenerationConfig {\n",
3357
+ " \"begin_suppress_tokens\": [\n",
3358
+ " 220,\n",
3359
+ " 50257\n",
3360
+ " ],\n",
3361
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3362
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3363
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3364
+ " \"max_length\": 448,\n",
3365
+ " \"pad_token_id\": 50257,\n",
3366
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3367
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3368
+ " \"use_cache\": false\n",
3369
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3370
+ "\n",
3371
+ "Generate config GenerationConfig {\n",
3372
+ " \"begin_suppress_tokens\": [\n",
3373
+ " 220,\n",
3374
+ " 50257\n",
3375
+ " ],\n",
3376
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3377
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3378
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3379
+ " \"max_length\": 448,\n",
3380
+ " \"pad_token_id\": 50257,\n",
3381
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3382
+ " \"transformers_version\": \"4.26.0.dev0\",\n",
3383
+ " \"use_cache\": false\n",
3384
+ "}\n",
3385
+ "\n",
3386
+ "Generate config GenerationConfig {\n",
3387
+ " \"begin_suppress_tokens\": [\n",
3388
+ " 220,\n",
3389
+ " 50257\n",
3390
+ " ],\n",
3391
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3392
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3393
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3394
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3395
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3396
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3397
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3398
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3399
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3400
+ "\n",
3401
+ "Generate config GenerationConfig {\n",
3402
+ " \"begin_suppress_tokens\": [\n",
3403
+ " 220,\n",
3404
+ " 50257\n",
3405
+ " ],\n",
3406
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3407
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3408
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3409
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3410
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3411
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3412
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3413
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3414
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3415
+ "\n",
3416
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3417
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3418
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3419
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3420
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3421
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3422
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3423
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3424
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3425
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3426
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3427
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3428
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3429
+ "}\n",
3430
+ "\n",
3431
+ "Generate config GenerationConfig {\n",
3432
+ " \"begin_suppress_tokens\": [\n",
3433
+ " 220,\n",
3434
+ " 50257\n",
3435
+ " ],\n",
3436
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3437
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3438
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3439
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3440
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3441
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3442
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3443
+ " \"use_cache\": false\n",
3444
+ "}\n",
3445
+ "\n",
3446
+ "Generate config GenerationConfig {\n",
3447
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3448
+ " 220,\n",
3449
+ " 50257\n",
3450
+ " ],\n",
3451
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3452
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3453
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3454
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3455
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3456
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3457
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3458
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3459
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3460
+ "\n",
3461
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3462
+ " \"begin_suppress_tokens\": [\n",
3463
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3464
+ " 50257\n",
3465
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3466
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3467
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3468
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3469
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3470
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3471
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3472
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3473
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3474
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3475
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3476
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3477
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3478
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3479
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3480
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3481
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3482
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3483
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3484
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3485
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3486
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3487
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3488
+ " \"use_cache\": false\n",
3489
+ "}\n",
3490
+ "\n",
3491
+ "Saving model checkpoint to ./checkpoint-1000\n",
3492
+ "Configuration saved in ./checkpoint-1000/config.json\n",
3493
+ "Model weights saved in ./checkpoint-1000/pytorch_model.bin\n",
3494
+ "Feature extractor saved in ./checkpoint-1000/preprocessor_config.json\n",
3495
+ "Feature extractor saved in ./preprocessor_config.json\n"
3496
+ ]
3497
  }
3498
  ],
3499
  "source": [
fine-tune-whisper-non-streaming-fleurs-ms.ipynb CHANGED
@@ -2738,8 +2738,8 @@
2738
  "\n",
2739
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2740
  " \n",
2741
- " <progress value='1001' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
2742
- " [1001/5000 1:51:25 < 7:26:02, 0.15 it/s, Epoch 10.64/54]\n",
2743
  " </div>\n",
2744
  " <table border=\"1\" class=\"dataframe\">\n",
2745
  " <thead>\n",
@@ -2747,17 +2747,18 @@
2747
  " <th>Step</th>\n",
2748
  " <th>Training Loss</th>\n",
2749
  " <th>Validation Loss</th>\n",
 
2750
  " </tr>\n",
2751
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2752
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2753
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2754
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2755
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2756
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2757
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2758
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2759
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2760
- " "
2761
  ],
2762
  "text/plain": [
2763
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@@ -3486,7 +3487,12 @@
3486
  " \"transformers_version\": \"4.26.0.dev0\",\n",
3487
  " \"use_cache\": false\n",
3488
  "}\n",
3489
- "\n"
 
 
 
 
 
3490
  ]
3491
  }
3492
  ],
 
2738
  "\n",
2739
  " <div>\n",
2740
  " \n",
2741
+ " <progress value='1028' max='5000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
2742
+ " [1028/5000 2:10:54 < 8:26:47, 0.13 it/s, Epoch 10.93/54]\n",
2743
  " </div>\n",
2744
  " <table border=\"1\" class=\"dataframe\">\n",
2745
  " <thead>\n",
 
2747
  " <th>Step</th>\n",
2748
  " <th>Training Loss</th>\n",
2749
  " <th>Validation Loss</th>\n",
2750
+ " <th>Wer</th>\n",
2751
  " </tr>\n",
2752
  " </thead>\n",
2753
  " <tbody>\n",
2754
+ " <tr>\n",
2755
+ " <td>1000</td>\n",
2756
+ " <td>0.002400</td>\n",
2757
+ " <td>0.243783</td>\n",
2758
+ " <td>10.344360</td>\n",
2759
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2760
  " </tbody>\n",
2761
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2762
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2763
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2764
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3487
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3488
  " \"use_cache\": false\n",
3489
  "}\n",
3490
+ "\n",
3491
+ "Saving model checkpoint to ./checkpoint-1000\n",
3492
+ "Configuration saved in ./checkpoint-1000/config.json\n",
3493
+ "Model weights saved in ./checkpoint-1000/pytorch_model.bin\n",
3494
+ "Feature extractor saved in ./checkpoint-1000/preprocessor_config.json\n",
3495
+ "Feature extractor saved in ./preprocessor_config.json\n"
3496
  ]
3497
  }
3498
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