End of training
Browse files- README.md +10 -12
- config.json +2 -2
- generation_config.json +1 -1
- model.safetensors +1 -1
- runs/Nov20_20-32-19_a1ce98e2d60a/events.out.tfevents.1732134755.a1ce98e2d60a.338.0 +3 -0
- training_args.bin +1 -1
README.md
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metrics:
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- name: Wer
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type: wer
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value:
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 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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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps:
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- training_steps:
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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.
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| 0.1771 | 2.5757 | 4000 | 0.5641 | 42.7456 |
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### Framework versions
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- Transformers 4.46.
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- Pytorch 2.
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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metrics:
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- name: Wer
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type: wer
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value: 43.76980626613088
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6227
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- Wer: 43.7698
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- training_steps: 2004
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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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| 0.0897 | 2.5740 | 2000 | 0.6227 | 43.7698 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Tokenizers 0.20.3
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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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"pad_token_id": 50257,
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.46.
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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": "ambind/whisper-tiny-pl-2",
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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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"pad_token_id": 50257,
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"scale_embedding": false,
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"torch_dtype": "float32",
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"transformers_version": "4.46.2",
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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": "4.46.
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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": "4.46.2"
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}
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model.safetensors
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runs/Nov20_20-32-19_a1ce98e2d60a/events.out.tfevents.1732134755.a1ce98e2d60a.338.0
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training_args.bin
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