velocity-ai
commited on
End of training
Browse files- README.md +3 -22
- config.json +2 -2
- generation_config.json +1 -1
- model.safetensors +1 -1
- runs/May31_13-47-08_e4d7e8146ce9/events.out.tfevents.1717163267.e4d7e8146ce9.992.0 +3 -0
- training_args.bin +1 -1
README.md
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- generated_from_trainer
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datasets:
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- velocity-whisper
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metrics:
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- wer
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model-index:
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- name: whisper-small-finetuned-hinglish
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: exclamation
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type: velocity-whisper
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args: 'config: hi, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 15.600350569675722
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-small-finetuned-hinglish
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the exclamation dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1456
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- Wer: 15.6004
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs:
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- mixed_precision_training: Native AMP
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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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| 0.0001 | 17.8571 | 1000 | 0.1456 | 15.6004 |
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### Framework versions
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- Transformers 4.41.
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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- generated_from_trainer
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datasets:
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- velocity-whisper
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model-index:
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- name: whisper-small-finetuned-hinglish
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-small-finetuned-hinglish
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the exclamation dataset.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 2
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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50362
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],
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"torch_dtype": "float32",
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"transformers_version": "4.41.
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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{
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"_name_or_path": "velocity-ai/velocity-whisper-hi",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"apply_spec_augment": false,
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50362
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],
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"torch_dtype": "float32",
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"transformers_version": "4.41.2",
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"use_cache": true,
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"use_weighted_layer_sum": false,
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"vocab_size": 51865
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.41.
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}
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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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model.safetensors
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runs/May31_13-47-08_e4d7e8146ce9/events.out.tfevents.1717163267.e4d7e8146ce9.992.0
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training_args.bin
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