End of training

README.md

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+---
+language:
+- ru
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: openai/whisper-small
+metrics:
+- wer
+model-index:
+- name: 'Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru '
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+[<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/jbal64q5)
+[<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/jbal64q5)
+[<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/jbal64q5)
+[<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/o1p7x7u1)
+[<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/o1p7x7u1)
+# Whisper Small Ru ORD 0.7 PEFT LoRA - Mizoru 
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ORD_0.7 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4241
+- Wer: 74.5818
+- Cer: 38.6379
+- Clean Wer: 60.9733
+- Clean Cer: 30.4133
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.001
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     | Clean Wer | Clean Cer |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:---------:|
+| 1.3116        | 1.0   | 196  | 1.2595          | 75.2427 | 37.5133 | 59.8253   | 30.3495   |
+| 1.1944        | 2.0   | 392  | 1.2362          | 75.3239 | 38.0798 | 61.7830   | 31.1456   |
+| 1.137         | 3.0   | 588  | 1.2391          | 76.7957 | 39.3375 | 62.8324   | 31.6562   |
+| 1.0293        | 4.0   | 784  | 1.2472          | 74.9783 | 38.2671 | 58.8861   | 30.9703   |
+| 0.9835        | 5.0   | 980  | 1.2720          | 72.7755 | 37.0461 | 58.5421   | 28.9427   |
+| 0.92          | 6.0   | 1176 | 1.2871          | 72.1532 | 37.6018 | 62.6024   | 30.6224   |
+| 0.849         | 7.0   | 1372 | 1.3214          | 72.6281 | 37.3213 | 58.2328   | 29.4501   |
+| 0.7708        | 8.0   | 1568 | 1.3527          | 72.0761 | 37.4703 | 60.3471   | 29.9594   |
+| 0.7397        | 9.0   | 1764 | 1.3923          | 74.3780 | 38.5124 | 60.8670   | 30.1533   |
+| 0.6614        | 10.0  | 1960 | 1.4241          | 74.5818 | 38.6379 | 60.9733   | 30.4133   |
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.41.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.19.1

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