Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: train-data
+  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. -->
+
+# train-data
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0341
+- Accuracy: 0.9934
+- Precision: 0.9934
+- Recall: 0.9934
+- F1: 0.9934
+- Music Precision: 0.9910
+- Music Recall: 1.0
+- Music F1: 0.9955
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | Precision | Recall | F1     | Music Precision | Music Recall | Music F1 |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:---------------:|:------------:|:--------:|
+| 0.0148        | 5.2632  | 100  | 0.0020          | 1.0      | 1.0       | 1.0    | 1.0    | 1.0             | 1.0          | 1.0      |
+| 0.0021        | 10.5263 | 200  | 0.0341          | 0.9934   | 0.9934    | 0.9934 | 0.9934 | 0.9910          | 1.0          | 0.9955   |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.5.1+cu121
+- Datasets 4.3.0
+- Tokenizers 0.22.1

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