End of training

README.md

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+---
+library_name: transformers
+language:
+- th
+license: apache-2.0
+base_model: openai/whisper-large
+tags:
+- asr
+- speech-recognition
+- thai
+- custom-model
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Large TH - Nonhmello
+  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 Large TH - Nonhmello
+
+This model is a fine-tuned version of [openai/whisper-large](https://huggingface.co/openai/whisper-large) on the Custom dataset on local machine dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3642
+- Wer: 50.0
+
+## 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: 200
+- training_steps: 800
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer  |
+|:-------------:|:-----:|:----:|:---------------:|:----:|
+| 0.0           | 400.0 | 400  | 0.3334          | 50.0 |
+| 0.0           | 800.0 | 800  | 0.3642          | 50.0 |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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+  "transformers_version": "4.45.2"
+}

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