Training complete!
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README.md
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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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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 7.000000000000001e-05
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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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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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 4.3365 | 2.5 | 200 | 3.8741 |
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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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- eval_loss: 4.7168
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- eval_model_preparation_time: 0.0032
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- eval_runtime: 23.0401
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- eval_samples_per_second: 347.612
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- eval_steps_per_second: 4.991
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- step: 0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 7.000000000000001e-05
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- train_batch_size: 70
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- eval_batch_size: 70
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- seed: 42
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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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### Framework versions
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- Transformers 4.47.0
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model.safetensors
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training_args.bin
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