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Ro551
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mt5-small-GEC-spanish-cowsl2h

Transformers
Safetensors
mt5
text2text-generation
Generated from Trainer
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Ro551 commited on
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Model trained and pushed to Hugging Face Hub

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Files changed (3) hide show
  1. README.md +7 -6
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1168
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- - Gleu: 0.4045
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  ## Model description
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@@ -45,15 +45,16 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 0.08931724594470192
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- - num_epochs: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Gleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 2.3968 | 1.0 | 388 | 0.2932 | 0.0296 |
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- | 0.3432 | 2.0 | 776 | 0.1246 | 0.3829 |
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- | 0.2652 | 3.0 | 1164 | 0.1168 | 0.4045 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1076
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+ - Gleu: 0.4330
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 0.08931724594470192
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+ - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Gleu |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 2.8884 | 1.0 | 388 | 0.2258 | 0.0917 |
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+ | 0.3333 | 2.0 | 776 | 0.1217 | 0.3753 |
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+ | 0.2522 | 3.0 | 1164 | 0.1126 | 0.4238 |
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+ | 0.2273 | 4.0 | 1552 | 0.1076 | 0.4330 |
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  ### Framework versions
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