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Training complete!

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  1. README.md +19 -6
  2. model.safetensors +1 -1
README.md CHANGED
@@ -16,12 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/t5-efficient-tiny-nh8](https://huggingface.co/google/t5-efficient-tiny-nh8) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - eval_loss: 5.5563
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- - eval_model_preparation_time: 0.0031
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- - eval_runtime: 23.0312
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- - eval_samples_per_second: 347.745
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- - eval_steps_per_second: 4.993
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- - step: 0
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  ## Model description
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@@ -49,6 +44,24 @@ The following hyperparameters were used during training:
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  - num_epochs: 3
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - Transformers 4.47.0
 
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  This model is a fine-tuned version of [google/t5-efficient-tiny-nh8](https://huggingface.co/google/t5-efficient-tiny-nh8) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7583
 
 
 
 
 
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  ## Model description
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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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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:------:|:----:|:---------------:|
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+ | 1.1522 | 0.2328 | 200 | 0.9863 |
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+ | 0.9677 | 0.4657 | 400 | 0.9158 |
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+ | 0.9143 | 0.6985 | 600 | 0.8762 |
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+ | 0.8894 | 0.9313 | 800 | 0.8478 |
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+ | 0.8586 | 1.1641 | 1000 | 0.8262 |
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+ | 0.8382 | 1.3970 | 1200 | 0.8079 |
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+ | 0.8198 | 1.6298 | 1400 | 0.7938 |
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+ | 0.805 | 1.8626 | 1600 | 0.7823 |
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+ | 0.8035 | 2.0955 | 1800 | 0.7727 |
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+ | 0.7897 | 2.3283 | 2000 | 0.7661 |
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+ | 0.7849 | 2.5611 | 2200 | 0.7607 |
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+ | 0.7781 | 2.7939 | 2400 | 0.7583 |
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+
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+
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  ### Framework versions
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  - Transformers 4.47.0
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