Training in progress, step 1000
Browse files- README.md +15 -1
- model.safetensors +1 -1
- run.sh +2 -2
- training_args.bin +1 -1
README.md
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library_name: transformers
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license: apache-2.0
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base_model: openai/whisper-tiny
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tags:
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- whisper-event
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- generated_from_trainer
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@@ -81,7 +84,18 @@ should probably proofread and complete it, then remove this comment. -->
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# Whisper Tiny Basque
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the asierhv/composite_corpus_eu_v2.1
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It achieves the following results on the evaluation set:
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- Loss: 0.3002
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- Wer: 14.9855
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library_name: transformers
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license: apache-2.0
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base_model: openai/whisper-tiny
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language: eu
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task_categories:
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- automatic-speech-recognition
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tags:
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- whisper-event
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- generated_from_trainer
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# Whisper Tiny Basque
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the [Composite Corpus eu v2.1](asierhv/composite_corpus_eu_v2.1), which is a mix of the following datasets:
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| Split tag | Source | Hours | Sentences |
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|:---------:|:--------------------:|:------------:|:----------:|
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| - | [Mozilla Common Voice 18.0](https://commonvoice.mozilla.org/eu/datasets) | 300.05 h | 198498 |
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| - | [Basque Parliament 1](https://www.mdpi.com/2076-3417/14/5/1951) | 369.65 h | 185699 |
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| - | [OpenSLR](https://openslr.org/76/) | 6.28 h | 3229 |
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| train | **Total** | **675.98 h** | **387426** |
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It achieves the following results on the evaluation set:
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- Loss: 0.3002
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- Wer: 14.9855
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model.safetensors
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run.sh
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--dataset_name="asierhv/composite_corpus_eu_v2.1" \
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--language="basque" \
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--train_split_name="train" \
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--eval_split_name="
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--model_index_name="Whisper Tiny Basque" \
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--max_steps="10000" \
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--output_dir="./" \
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--use_auth_token \
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--push_to_hub \
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--report_to "wandb" \
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--run_name "whisper-tiny-eu-
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--dataset_name="asierhv/composite_corpus_eu_v2.1" \
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--language="basque" \
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--train_split_name="train" \
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--eval_split_name="dev" \
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--model_index_name="Whisper Tiny Basque" \
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--max_steps="10000" \
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--output_dir="./" \
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--use_auth_token \
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--push_to_hub \
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--report_to "wandb" \
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--run_name "whisper-tiny-eu-25.02-r1"
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training_args.bin
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