End of training
Browse files- README.md +18 -3
- adapter_config.json +3 -3
- adapter_model.safetensors +2 -2
- runs/May24_18-29-03_a100gpu5/events.out.tfevents.1716568161.a100gpu5.2421461.12 +3 -0
- runs/May24_18-29-03_a100gpu5/events.out.tfevents.1716568181.a100gpu5.2421461.13 +3 -0
- runs/May24_18-30-06_a100gpu5/events.out.tfevents.1716568218.a100gpu5.2421461.14 +3 -0
- runs/May24_18-39-39_a100gpu5/events.out.tfevents.1716568787.a100gpu5.2421461.15 +3 -0
- runs/May24_18-39-39_a100gpu5/events.out.tfevents.1716568807.a100gpu5.2421461.16 +3 -0
- runs/May24_18-40-31_a100gpu5/events.out.tfevents.1716568838.a100gpu5.2421461.17 +3 -0
- runs/May24_18-40-31_a100gpu5/events.out.tfevents.1716568854.a100gpu5.2421461.18 +3 -0
- runs/May24_18-45-43_a100gpu5/events.out.tfevents.1716569151.a100gpu5.2421461.19 +3 -0
- runs/May24_18-48-05_a100gpu5/events.out.tfevents.1716569309.a100gpu5.2421461.20 +3 -0
- runs/May24_18-51-40_a100gpu5/events.out.tfevents.1716569510.a100gpu5.2421461.21 +3 -0
- training_args.bin +1 -1
README.md
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# Whisper Small English 1h
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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- train_batch_size: 8
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- eval_batch_size:
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- seed: 42
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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:
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.10.0
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# Whisper Small English 1h
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the librispeech dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1439
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-06
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- train_batch_size: 8
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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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: 50
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- num_epochs: 5
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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 |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.9744 | 19 | 2.1913 |
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| 1.3757 | 2.0 | 39 | 2.1791 |
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| 1.3932 | 2.9744 | 58 | 2.1605 |
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| 1.3541 | 4.0 | 78 | 2.1477 |
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| 1.3541 | 4.8718 | 95 | 2.1439 |
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### Framework versions
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- PEFT 0.10.0
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adapter_config.json
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