End of training

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: msc_imasc_openslr_festfox_Whisper_Medium_2_increased_learning
+  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. -->
+
+# msc_imasc_openslr_festfox_Whisper_Medium_2_increased_learning
+
+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: 0.0293
+- Wer: 13.7099
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0595        | 0.4   | 1000 | 0.1031          | 45.0858 |
+| 0.0357        | 0.79  | 2000 | 0.0648          | 31.0774 |
+| 0.0189        | 1.19  | 3000 | 0.0454          | 23.8119 |
+| 0.0137        | 1.58  | 4000 | 0.0356          | 18.2632 |
+| 0.0086        | 1.98  | 5000 | 0.0308          | 15.7751 |
+| 0.0031        | 2.37  | 6000 | 0.0293          | 13.7099 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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+}