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End of training

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  1. README.md +14 -7
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: t5-small
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # sentence-correction
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9917
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  ## Model description
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@@ -41,15 +41,22 @@ The following hyperparameters were used during training:
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  - seed: 42
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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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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 94 | 1.0624 |
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- | No log | 2.0 | 188 | 1.0047 |
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- | No log | 3.0 | 282 | 0.9917 |
 
 
 
 
 
 
 
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  license: apache-2.0
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+ base_model: ayakiri/sentence-correction
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # sentence-correction
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+ This model is a fine-tuned version of [ayakiri/sentence-correction](https://huggingface.co/ayakiri/sentence-correction) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6802
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  ## Model description
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  - seed: 42
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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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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 374 | 0.6624 |
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+ | 0.4455 | 2.0 | 748 | 0.6696 |
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+ | 0.4284 | 3.0 | 1122 | 0.6677 |
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+ | 0.4284 | 4.0 | 1496 | 0.6674 |
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+ | 0.4049 | 5.0 | 1870 | 0.6714 |
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+ | 0.3958 | 6.0 | 2244 | 0.6759 |
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+ | 0.3905 | 7.0 | 2618 | 0.6770 |
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+ | 0.3905 | 8.0 | 2992 | 0.6784 |
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+ | 0.3825 | 9.0 | 3366 | 0.6785 |
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+ | 0.3808 | 10.0 | 3740 | 0.6802 |
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  ### Framework versions