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
+- f1
+- precision
+- recall
+model-index:
+- name: adima_training_new
+  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. -->
+
+# adima_training_new
+
+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: 0.6126
+- Accuracy: 0.6125
+- F1: 0.1622
+- Precision: 1.0
+- Recall: 0.0882
+- Auc: 0.8600
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 6
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Auc    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:------:|
+| 0.7399        | 1.0   | 25   | 0.7019          | 0.4375   | 0.6018 | 0.4304    | 1.0    | 0.5045 |
+| 0.7101        | 2.0   | 50   | 0.6837          | 0.6625   | 0.5846 | 0.6129    | 0.5588 | 0.7033 |
+| 0.7101        | 3.0   | 75   | 0.6608          | 0.575    | 0.0    | 0.0       | 0.0    | 0.8223 |
+| 0.6606        | 4.0   | 100  | 0.6394          | 0.575    | 0.0    | 0.0       | 0.0    | 0.8504 |
+| 0.6606        | 5.0   | 125  | 0.6192          | 0.6      | 0.1111 | 1.0       | 0.0588 | 0.8600 |
+| 0.6128        | 6.0   | 150  | 0.6126          | 0.6125   | 0.1622 | 1.0       | 0.0882 | 0.8600 |
+
+
+### Framework versions
+
+- Transformers 4.52.4
+- Pytorch 2.6.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

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