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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: openai/whisper-large-v2 |
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datasets: |
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- audiofolder |
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model-index: |
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- name: large-v2-multiple-bg-v1 |
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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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should probably proofread and complete it, then remove this comment. --> |
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/xpertinc/huggingface/runs/v28yz3ha) |
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# large-v2-multiple-bg-v1 |
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This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the audiofolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8192 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 32 |
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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_ratio: 0.01 |
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- training_steps: 5000 |
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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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| 1.7975 | 17.2414 | 500 | 1.7851 | |
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| 1.4044 | 34.4828 | 1000 | 1.3945 | |
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| 1.0932 | 51.7241 | 1500 | 1.0965 | |
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| 0.9793 | 68.9655 | 2000 | 0.9987 | |
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| 0.9105 | 86.2069 | 2500 | 0.9390 | |
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| 0.8601 | 103.4483 | 3000 | 0.8936 | |
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| 0.8238 | 120.6897 | 3500 | 0.8600 | |
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| 0.7935 | 137.9310 | 4000 | 0.8370 | |
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| 0.7834 | 155.1724 | 4500 | 0.8236 | |
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| 0.7751 | 172.4138 | 5000 | 0.8192 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.0.dev0 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
