End of training
Browse files- README.md +66 -0
- adapter_model.safetensors +1 -1
README.md
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---
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language:
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- ru
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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-small
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model-index:
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- name: 'Whisper Small Ru ORD 0.9 PEFT LoRA - Mizoru '
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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/mizoru/ORD/runs/w3ojdhiq)
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# Whisper Small Ru ORD 0.9 PEFT LoRA - Mizoru
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ORD_0.9 dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.1645
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- eval_wer: 60.0083
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- eval_cer: 32.4890
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- eval_clean_wer: 52.7531
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- eval_clean_cer: 26.9858
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- eval_runtime: 3824.1394
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- eval_samples_per_second: 0.144
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- eval_steps_per_second: 0.036
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- epoch: 3.0
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- step: 1650
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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: 0.001
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- train_batch_size: 16
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- eval_batch_size: 4
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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: 50
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- training_steps: 2000
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- mixed_precision_training: Native AMP
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### Framework versions
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- PEFT 0.10.1.dev0
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- Transformers 4.41.0.dev0
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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version https://git-lfs.github.com/spec/v1
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size 14176064
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