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josephhaaga
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transcribe-arlco-calls

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files
xet
 Metrics Community
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End of training

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Files changed (3) hide show
  1. README.md +87 -0
  2. generation_config.json +192 -0
  3. model.safetensors +1 -1
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+ ---
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+ library_name: transformers
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+ language:
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+ - en
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+ license: apache-2.0
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+ base_model: openai/whisper-small.en
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - arlco-calls
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+ metrics:
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+ - wer
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+ model-index:
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+ - name: transcribe-arlco-calls
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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: arlco-calls
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+ type: arlco-calls
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+ args: 'config: hi, split: test'
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+ metrics:
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+ - name: Wer
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+ type: wer
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+ value: 1.9950487840396096
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+ ---
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # transcribe-arlco-calls
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+
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+ This model is a fine-tuned version of [openai/whisper-small.en](https://huggingface.co/openai/whisper-small.en) on the arlco-calls dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0040
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+ - Wer: 1.9950
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 2
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+ - total_train_batch_size: 16
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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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+ - lr_scheduler_warmup_steps: 20
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+ - training_steps: 400
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|
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+ | 0.844 | 2.0 | 50 | 0.7820 | 14.4313 |
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+ | 0.3868 | 4.0 | 100 | 0.3769 | 7.6453 |
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+ | 0.1698 | 6.0 | 150 | 0.0941 | 5.4609 |
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+ | 0.0241 | 8.0 | 200 | 0.0248 | 4.9949 |
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+ | 0.0285 | 10.0 | 250 | 0.0102 | 5.1551 |
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+ | 0.007 | 12.0 | 300 | 0.0055 | 2.2426 |
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+ | 0.0027 | 14.0 | 350 | 0.0043 | 1.9659 |
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+ | 0.0031 | 16.0 | 400 | 0.0040 | 1.9950 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.3
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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