End of training

README.md

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+---
+language:
+- zh
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+model-index:
+- name: openai/whisper-tiny
+  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. -->
+
+# openai/whisper-tiny
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the pphuc25/ChiMed dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5036
+- Cer: 34.0018
+
+## 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: 0.0001
+- train_batch_size: 8
+- 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: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.9949        | 1.0   | 161  | 1.1720          | 86.6756 |
+| 0.6345        | 2.0   | 322  | 1.2101          | 74.7772 |
+| 0.4273        | 3.0   | 483  | 1.2770          | 42.6025 |
+| 0.2435        | 4.0   | 644  | 1.3652          | 44.5856 |
+| 0.1437        | 5.0   | 805  | 1.4654          | 50.7353 |
+| 0.097         | 6.0   | 966  | 1.4137          | 53.5873 |
+| 0.0808        | 7.0   | 1127 | 1.4085          | 42.1569 |
+| 0.049         | 8.0   | 1288 | 1.4790          | 38.6586 |
+| 0.0392        | 9.0   | 1449 | 1.5276          | 40.6640 |
+| 0.0283        | 10.0  | 1610 | 1.4854          | 42.5802 |
+| 0.0164        | 11.0  | 1771 | 1.5004          | 39.7727 |
+| 0.0126        | 12.0  | 1932 | 1.5267          | 41.9118 |
+| 0.0124        | 13.0  | 2093 | 1.5349          | 36.7870 |
+| 0.0061        | 14.0  | 2254 | 1.5172          | 35.6061 |
+| 0.0018        | 15.0  | 2415 | 1.5075          | 34.0909 |
+| 0.0032        | 16.0  | 2576 | 1.5066          | 34.5365 |
+| 0.001         | 17.0  | 2737 | 1.4948          | 33.6453 |
+| 0.0007        | 18.0  | 2898 | 1.5060          | 34.3137 |
+| 0.0005        | 19.0  | 3059 | 1.5030          | 34.2246 |
+| 0.0005        | 20.0  | 3220 | 1.5036          | 34.0018 |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.3.0
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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+}

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