End of training
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README.md
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- generated_from_trainer
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datasets:
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- fleurs
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model-index:
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- name: whisper-base-khmer
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-base-khmer
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps:
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- total_train_batch_size: 128
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- optimizer: Use
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- Transformers 4.
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- Pytorch 2.
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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- generated_from_trainer
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datasets:
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- fleurs
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metrics:
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- wer
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model-index:
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- name: whisper-base-khmer
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: fleurs
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type: fleurs
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config: km_kh
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split: test
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args: km_kh
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metrics:
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- name: Wer
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type: wer
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value: 0.9567538446468802
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# whisper-base-khmer
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This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the fleurs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6861
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- Wer: 0.9568
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.1913 | 1.0 | 158 | 1.1945 | 1.0348 |
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| 0.8548 | 2.0 | 316 | 0.8276 | 0.9761 |
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| 0.6434 | 3.0 | 474 | 0.6861 | 0.9568 |
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### Framework versions
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- Transformers 4.48.3
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- Pytorch 2.5.1+cu124
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- Datasets 3.3.1
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- Tokenizers 0.21.0
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.48.3"
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}
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runs/Feb20_15-07-12_744d769afcce/events.out.tfevents.1740072199.744d769afcce.1513.5
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e4d4970d912804d05ab678c4bcc7a476e85d60e658b32406717938c80722a03
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size 406
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