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juanjucm
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whisper-large-v3-turbo-FLEURS-GL-EN

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Galician
English
whisper
Generated from Trainer
Inference Endpoints
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End of training

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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Dec18_18-18-32_mad-loc-analytics3/events.out.tfevents.1734542315.mad-loc-analytics3.705283.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.0422
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- - Wer: 99.1150
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- - Bleu: 15.6996
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  ## Model description
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@@ -55,12 +55,12 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu |
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- |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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- | 4.2758 | 1.0 | 5 | 3.8844 | 76.6962 | 17.9438 |
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- | 2.3967 | 2.0 | 10 | 2.6969 | 96.4602 | 13.4436 |
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- | 1.4928 | 3.0 | 15 | 2.2290 | 71.0914 | 19.0116 |
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- | 1.2668 | 4.0 | 20 | 2.0422 | 99.1150 | 15.6996 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.0454
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+ - Wer: 128.3186
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+ - Bleu: 12.2446
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Wer | Bleu |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
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+ | 4.2751 | 1.0 | 5 | 3.8850 | 76.6962 | 18.0512 |
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+ | 2.3984 | 2.0 | 10 | 2.6965 | 97.0501 | 13.5327 |
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+ | 1.4958 | 3.0 | 15 | 2.2308 | 71.6814 | 18.9665 |
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+ | 1.27 | 4.0 | 20 | 2.0454 | 128.3186 | 12.2446 |
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  ### Framework versions
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