Training in progress, step 200
Browse files- .gitignore +1 -0
- added_tokens.json +1 -2
- config.json +10 -1
- merges.txt +1 -1
- preprocessor_config.json +0 -0
- pytorch_model.bin +3 -0
- run.sh +0 -1
- runs/Mar17_11-26-25_dante/1679048805.5259922/events.out.tfevents.1679048805.dante.3289286.1 +3 -0
- runs/Mar17_11-26-25_dante/events.out.tfevents.1679048805.dante.3289286.0 +3 -0
- runs/Mar17_11-44-55_dante/1679049913.0870838/events.out.tfevents.1679049913.dante.3379179.1 +3 -0
- runs/Mar17_11-44-55_dante/events.out.tfevents.1679049913.dante.3379179.0 +3 -0
- runs/Mar17_11-46-06_dante/1679049983.539156/events.out.tfevents.1679049983.dante.3389725.1 +3 -0
- runs/Mar17_11-46-06_dante/events.out.tfevents.1679049983.dante.3389725.0 +3 -0
- special_tokens_map.json +2 -2
- tokenizer.json +0 -0
- tokenizer_config.json +1 -2
- training_args.bin +2 -2
- vocab.json +0 -0
.gitignore
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checkpoint-*/
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added_tokens.json
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config.json
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"_name_or_path": "openai/whisper-tiny",
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merges.txt
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#version: 0.2
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Ġ a
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Ġt h
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i n
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#version: 0.2 - Trained by `huggingface/tokenizers`
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preprocessor_config.json
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pytorch_model.bin
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run.sh
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--output_dir="./" \
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--per_device_train_batch_size="128" \
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--per_device_eval_batch_size="32" \
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--gradient_accumulation_step="1" \
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--logging_steps="200" \
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--learning_rate="3e-6" \
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--lr_scheduler_type="constant_with_warmup" \
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--output_dir="./" \
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--per_device_train_batch_size="128" \
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--per_device_eval_batch_size="32" \
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--logging_steps="200" \
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--learning_rate="3e-6" \
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--lr_scheduler_type="constant_with_warmup" \
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special_tokens_map.json
CHANGED
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"<|vi|>",
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"<|
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"<|uk|>",
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"<|el|>",
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"<|ms|>",
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"<|vi|>",
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tokenizer.json
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tokenizer_config.json
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vocab.json
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