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End of training

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README.md ADDED
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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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+ base_model: openai/whisper-large-v2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - wer
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+ library_name: peft
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+ model-index:
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+ - name: 'Whisper Large Ru ORD 0.9 Peft PEFT 4-bit Q DoRA - Mizoru '
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+ results: []
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+ ---
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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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+
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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/bcrggps2)
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+ # Whisper Large Ru ORD 0.9 Peft PEFT 4-bit Q DoRA - Mizoru
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+
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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 ORD_0.9 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.8845
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+ - Wer: 74.8477
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+ - Cer: 38.7512
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+ - Clean Wer: 36.9662
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+ - Clean Cer: 22.6459
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 16
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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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+ - num_epochs: 4
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Cer | Clean Wer | Clean Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:---------:|
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+ | 0.4253 | 1.0 | 500 | 2.7477 | 74.1292 | 39.0216 | 37.6289 | 23.1469 |
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+ | 0.3839 | 2.0 | 1000 | 3.0590 | 74.9874 | 39.2363 | 38.2604 | 23.1286 |
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+ | 0.3321 | 3.0 | 1500 | 2.8845 | 74.8477 | 38.7512 | 36.9662 | 22.6459 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.12.0
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+ - Transformers 4.41.0.dev0
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+ - Pytorch 2.3.1
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+ - Datasets 3.2.0
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+ - Tokenizers 0.19.1
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