End of training

README.md

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+---
+library_name: transformers
+language:
+- khm
+license: cc-by-nc-4.0
+base_model: facebook/mms-1b-fl102
+tags:
+- generated_from_trainer
+datasets:
+- seanghay/khmer-mpwt-speech
+metrics:
+- wer
+model-index:
+- name: mms-1b-finetuned-khm
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: seanghay/khmer-mpwt-speech
+      type: seanghay/khmer-mpwt-speech
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.627763041556145
+---
+
+<!-- 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. -->
+
+# mms-1b-finetuned-khm
+
+This model is a fine-tuned version of [facebook/mms-1b-fl102](https://huggingface.co/facebook/mms-1b-fl102) on the seanghay/khmer-mpwt-speech dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5778
+- Wer: 0.6278
+
+## 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: 0.001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 100
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 4.8181        | 0.5587 | 100  | 1.0119          | 0.9584 |
+| 1.1491        | 1.1173 | 200  | 0.7723          | 0.7366 |
+| 0.9737        | 1.6760 | 300  | 0.6707          | 0.7366 |
+| 0.8471        | 2.2346 | 400  | 0.6370          | 0.7019 |
+| 0.8114        | 2.7933 | 500  | 0.5789          | 0.6863 |
+| 0.6951        | 3.3520 | 600  | 0.5461          | 0.6464 |
+| 0.6791        | 3.9106 | 700  | 0.5406          | 0.6672 |
+
+
+### Framework versions
+
+- Transformers 4.57.0.dev0
+- Pytorch 2.8.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.1

adapter.khm.safetensors

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runs/Oct09_06-48-07_8c60993979e6/events.out.tfevents.1759994865.8c60993979e6.926.1

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