End of training
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- generation_config.json +3 -2
README.md
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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### Training results
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| Training Loss | Epoch
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 2.
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- Tokenizers 0.
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Spoken Bible Corpus: Malasar dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0139
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- Wer: 7.6014
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:-------:|
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| 0.042 | 0.6410 | 250 | 0.0392 | 18.1869 |
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| 0.023 | 1.2821 | 500 | 0.0318 | 14.5833 |
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| 0.0158 | 1.9231 | 750 | 0.0215 | 10.5293 |
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| 0.0106 | 2.5641 | 1000 | 0.0175 | 11.5428 |
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| 0.0035 | 3.2051 | 1250 | 0.0145 | 7.5450 |
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| 0.0027 | 3.8462 | 1500 | 0.0139 | 9.1779 |
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| 0.0018 | 4.4872 | 1750 | 0.0144 | 7.5450 |
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| 0.0016 | 5.1282 | 2000 | 0.0139 | 7.6014 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.0
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- Tokenizers 0.19.1
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generation_config.json
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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"max_initial_timestamp_index":
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"max_length": 448,
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"no_timestamps_token_id": 50363,
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"pad_token_id": 50257,
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"return_timestamps": false,
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"suppress_tokens": [
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1,
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"<|yo|>": 50325,
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"<|zh|>": 50260
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},
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"max_initial_timestamp_index": 50,
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"max_length": 448,
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"no_timestamps_token_id": 50363,
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"pad_token_id": 50257,
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"prev_sot_token_id": 50361,
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"return_timestamps": false,
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"suppress_tokens": [
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1,
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.41.2"
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}
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