End of training

README.md

@@ -0,0 +1,82 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Medium Fine Tuned 3000 Names SSD superU
+  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 Fine Tuned 3000 Names SSD superU
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1246
+- Wer: 26.1364
+
+## 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: 8
+- seed: 42
+- optimizer: Use OptimizerNames.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: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.4987        | 0.2392 | 100  | 0.4556          | 51.7045 |
+| 0.4092        | 0.4785 | 200  | 0.3531          | 48.5795 |
+| 0.3696        | 0.7177 | 300  | 0.3179          | 48.0114 |
+| 0.2694        | 0.9569 | 400  | 0.2911          | 38.6364 |
+| 0.2162        | 1.1962 | 500  | 0.2809          | 36.6477 |
+| 0.2378        | 1.4354 | 600  | 0.2682          | 34.9432 |
+| 0.2057        | 1.6746 | 700  | 0.1950          | 28.9773 |
+| 0.1681        | 1.9139 | 800  | 0.2118          | 36.3636 |
+| 0.1217        | 2.1531 | 900  | 0.1847          | 26.9886 |
+| 0.1235        | 2.3923 | 1000 | 0.1722          | 25.5682 |
+| 0.1203        | 2.6316 | 1100 | 0.1655          | 26.7045 |
+| 0.1182        | 2.8708 | 1200 | 0.1704          | 28.9773 |
+| 0.062         | 3.1100 | 1300 | 0.1566          | 26.9886 |
+| 0.0835        | 3.3493 | 1400 | 0.1455          | 23.8636 |
+| 0.0738        | 3.5885 | 1500 | 0.1387          | 24.1477 |
+| 0.0849        | 3.8278 | 1600 | 0.1354          | 25.0    |
+| 0.0419        | 4.0670 | 1700 | 0.1298          | 24.4318 |
+| 0.0512        | 4.3062 | 1800 | 0.1302          | 26.4205 |
+| 0.0524        | 4.5455 | 1900 | 0.1251          | 26.4205 |
+| 0.0411        | 4.7847 | 2000 | 0.1246          | 26.1364 |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.2.2+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

generation_config.json

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+  "transformers_version": "4.46.2"
+}

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