End of training

README.md

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+---
+language:
+- vi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small Mnong
+  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 Small Mnong
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the MnongAudio-v2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1380
+- Wer: 29.9287
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer      |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 3.2102        | 0.1421 | 200  | 3.0988          | 153.0565 |
+| 1.7796        | 0.2843 | 400  | 1.7393          | 146.0774 |
+| 1.3216        | 0.4264 | 600  | 1.3372          | 109.1187 |
+| 1.0883        | 0.5686 | 800  | 1.0383          | 101.5028 |
+| 0.8187        | 0.7107 | 1000 | 0.8161          | 63.4997  |
+| 0.652         | 0.8529 | 1200 | 0.6821          | 66.2252  |
+| 0.5411        | 0.9950 | 1400 | 0.5551          | 58.2272  |
+| 0.4082        | 1.1372 | 1600 | 0.4738          | 58.5074  |
+| 0.359         | 1.2793 | 1800 | 0.4075          | 45.1859  |
+| 0.2761        | 1.4215 | 2000 | 0.3466          | 43.9379  |
+| 0.212         | 1.5636 | 2200 | 0.3002          | 42.0785  |
+| 0.2192        | 1.7058 | 2400 | 0.2642          | 36.0927  |
+| 0.1932        | 1.8479 | 2600 | 0.2269          | 39.3785  |
+| 0.1541        | 1.9900 | 2800 | 0.2013          | 30.5400  |
+| 0.0944        | 2.1322 | 3000 | 0.1894          | 36.6021  |
+| 0.0848        | 2.2743 | 3200 | 0.1682          | 29.4447  |
+| 0.0811        | 2.4165 | 3400 | 0.1565          | 28.0183  |
+| 0.0899        | 2.5586 | 3600 | 0.1481          | 31.0749  |
+| 0.0749        | 2.7008 | 3800 | 0.1409          | 25.6240  |
+| 0.0737        | 2.8429 | 4000 | 0.1380          | 29.9287  |
+
+
+### Framework versions
+
+- Transformers 4.43.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

generation_config.json

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+}