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whisper-tiny-ga2en-v1.5

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
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  1. README.md +26 -2
  2. model.safetensors +1 -1
  3. runs/Apr02_03-01-20_f9860dcfe305/events.out.tfevents.1712026967.f9860dcfe305.48609.0 +2 -2
README.md CHANGED
@@ -3,17 +3,25 @@ license: apache-2.0
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  base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
 
 
 
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  model-index:
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- - name: whisper-tiny-ga2en-v1.5
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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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  should probably proofread and complete it, then remove this comment. -->
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- # whisper-tiny-ga2en-v1.5
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 
 
 
 
 
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  ## Model description
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@@ -42,6 +50,22 @@ The following hyperparameters were used during training:
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  - training_steps: 1000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.39.2
 
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  base_model: openai/whisper-tiny
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  tags:
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  - generated_from_trainer
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+ metrics:
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+ - bleu
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+ - wer
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  model-index:
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+ - name: Whisper Tiny GA-EN Speech Translation
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # Whisper Tiny GA-EN Speech Translation
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  This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.7758
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+ - Bleu: 15.81
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+ - Chrf: 32.03
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+ - Wer: 96.3980
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  ## Model description
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  - training_steps: 1000
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Chrf | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----:|:-----:|:--------:|
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+ | 0.9302 | 0.74 | 100 | 2.1831 | 8.7 | 24.4 | 114.2729 |
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+ | 0.3304 | 1.48 | 200 | 2.2829 | 11.34 | 28.63 | 115.6686 |
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+ | 0.1095 | 2.22 | 300 | 2.4409 | 11.35 | 29.53 | 117.4696 |
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+ | 0.0781 | 2.96 | 400 | 2.5060 | 12.55 | 29.32 | 110.1306 |
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+ | 0.0506 | 3.7 | 500 | 2.6288 | 16.65 | 31.61 | 91.9856 |
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+ | 0.041 | 4.44 | 600 | 2.6641 | 15.82 | 31.65 | 96.1279 |
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+ | 0.0335 | 5.19 | 700 | 2.7090 | 17.56 | 32.23 | 90.4998 |
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+ | 0.0296 | 5.93 | 800 | 2.7257 | 16.61 | 32.11 | 93.0662 |
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+ | 0.0278 | 6.67 | 900 | 2.7528 | 15.38 | 31.57 | 95.7226 |
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+ | 0.0217 | 7.41 | 1000 | 2.7758 | 15.81 | 32.03 | 96.3980 |
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+
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+
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  ### Framework versions
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  - Transformers 4.39.2
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