End of training
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fine-tune-whisper-non-streaming-id.ipynb
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"cell_type": "code",
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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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"\n",
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" <progress value='
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" [1000/1000
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" <thead>\n",
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"Configuration saved in ./checkpoint-1000/config.json\n",
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"Model weights saved in ./checkpoint-1000/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-1000/preprocessor_config.json\n",
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"Feature extractor saved in ./preprocessor_config.json\n"
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"id": "c704f91e-241b-48c9-b8e0-f0da396a9663"
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"metadata": {
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"id": "d7030622-caf7-4039-939b-6195cdaa2585"
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"outputs": [
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"source": [
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"trainer.push_to_hub(**kwargs)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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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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"\n",
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" <div>\n",
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" <progress value='1000' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
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" [1000/1000 5:14:33, Epoch 6/7]\n",
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" </div>\n",
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" <table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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"Configuration saved in ./checkpoint-1000/config.json\n",
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"Model weights saved in ./checkpoint-1000/pytorch_model.bin\n",
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"Feature extractor saved in ./checkpoint-1000/preprocessor_config.json\n",
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"Feature extractor saved in ./preprocessor_config.json\n",
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"\n",
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"\n",
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"Training completed. Do not forget to share your model on huggingface.co/models =)\n",
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"\n",
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"\n",
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"Loading best model from ./checkpoint-1000 (score: 6.213317142278891).\n"
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},
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{
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"data": {
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"text/plain": [
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"TrainOutput(global_step=1000, training_loss=0.15269774760305882, metrics={'train_runtime': 18880.3694, 'train_samples_per_second': 1.695, 'train_steps_per_second': 0.053, 'total_flos': 6.81452970835968e+19, 'train_loss': 0.15269774760305882, 'epoch': 6.06})"
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"execution_count": 35,
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"metadata": {},
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"output_type": "execute_result"
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"execution_count": 36,
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"id": "c704f91e-241b-48c9-b8e0-f0da396a9663",
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"metadata": {
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"id": "c704f91e-241b-48c9-b8e0-f0da396a9663"
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"metadata": {
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"id": "d7030622-caf7-4039-939b-6195cdaa2585"
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Saving model checkpoint to ./\n",
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"Configuration saved in ./config.json\n",
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"Model weights saved in ./pytorch_model.bin\n",
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"Feature extractor saved in ./preprocessor_config.json\n"
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]
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}
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],
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"source": [
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"trainer.push_to_hub(**kwargs)"
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runs/Dec19_12-09-59_129-146-74-165/events.out.tfevents.1671451847.129-146-74-165.127332.2
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