End of training

README.md

@@ -0,0 +1,82 @@
+---
+language:
+- vi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: openai/whisper-small
+  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-small
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the pphuc25/VietMed-split-8-2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9118
+- Wer: 21.7024
+
+## 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 | Wer     |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|
+| 0.6339        | 1.0   | 569   | 0.6214          | 27.8675 |
+| 0.4322        | 2.0   | 1138  | 0.5860          | 25.1949 |
+| 0.2846        | 3.0   | 1707  | 0.6092          | 24.0564 |
+| 0.1624        | 4.0   | 2276  | 0.6697          | 24.2614 |
+| 0.0915        | 5.0   | 2845  | 0.7291          | 25.9162 |
+| 0.0642        | 6.0   | 3414  | 0.7756          | 24.7739 |
+| 0.0382        | 7.0   | 3983  | 0.8095          | 24.1955 |
+| 0.0355        | 8.0   | 4552  | 0.8362          | 24.2541 |
+| 0.0314        | 9.0   | 5121  | 0.8388          | 23.9063 |
+| 0.0174        | 10.0  | 5690  | 0.8719          | 22.9251 |
+| 0.0107        | 11.0  | 6259  | 0.8740          | 23.0899 |
+| 0.0109        | 12.0  | 6828  | 0.8811          | 22.8226 |
+| 0.0036        | 13.0  | 7397  | 0.8770          | 22.5700 |
+| 0.0037        | 14.0  | 7966  | 0.8888          | 22.4382 |
+| 0.002         | 15.0  | 8535  | 0.8917          | 22.3467 |
+| 0.0001        | 16.0  | 9104  | 0.9047          | 22.0099 |
+| 0.0004        | 17.0  | 9673  | 0.8960          | 21.9660 |
+| 0.0009        | 18.0  | 10242 | 0.9079          | 21.6914 |
+| 0.0001        | 19.0  | 10811 | 0.9108          | 21.6658 |
+| 0.0           | 20.0  | 11380 | 0.9118          | 21.7024 |
+
+
+### 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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