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End of training

Browse files
README.md CHANGED
@@ -6,9 +6,24 @@ tags:
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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
@@ -17,6 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -36,23 +54,28 @@ More information needed
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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: 8
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- - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 16
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  - total_train_batch_size: 128
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- - optimizer: Use 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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  ### Framework versions
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- - Transformers 4.49.0
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- - Pytorch 2.6.0+cu124
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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
generation_config.json CHANGED
@@ -163,5 +163,5 @@
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  "transcribe": 50359,
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  "translate": 50358
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  },
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- "transformers_version": "4.49.0"
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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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  }
runs/Feb20_15-07-12_744d769afcce/events.out.tfevents.1740072199.744d769afcce.1513.5 ADDED
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+ size 406