./whisper-medium-ft-GPT_2

README.md

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+---
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: whisper-medium-ft-GPT_2
+  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. -->
+
+# whisper-medium-ft-GPT_2
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2050
+- Wer: 16.5802
+- Gpt: 8.8352
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Gpt    |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|
+| 0.6033        | 1.0   | 188  | 0.2203          | 22.8603 | 8.5556 |
+| 0.116         | 2.0   | 376  | 0.1960          | 15.4966 | 8.7544 |
+| 0.0392        | 3.0   | 564  | 0.1955          | 14.0854 | 8.9071 |
+| 0.0155        | 4.0   | 752  | 0.2029          | 16.9373 | 8.7654 |
+| 0.0052        | 5.0   | 940  | 0.2053          | 16.7842 | 8.6612 |
+| 0.0015        | 6.0   | 1128 | 0.2050          | 16.5802 | 8.8352 |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+}

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