Model save

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium.en
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: 2024-02-24_18-51-01
+  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. -->
+
+# 2024-02-24_18-51-01
+
+This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2283
+- Wer: 8.5884
+
+## 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: 64
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2189        | 1.0   | 711  | 0.2283          | 8.5884 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 1.13.1+cu116
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+}