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Text2Text Generation
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mt5
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End of training

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Files changed (5) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Jan28_19-19-23_CGLAPTOP-BIGASUS/events.out.tfevents.1738088363.CGLAPTOP-BIGASUS.14544.0 +3 -0
  4. runs/Jan28_19-46-27_CGLAPTOP-BIGASUS/events.out.tfevents.1738089988.CGLAPTOP-BIGASUS.27364.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +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/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 14.2335
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  ## Model description
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@@ -36,8 +36,8 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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- - train_batch_size: 2
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- - eval_batch_size: 2
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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
@@ -47,9 +47,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 20.6594 | 1.0 | 42 | 16.2099 |
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- | 19.9129 | 2.0 | 84 | 13.3423 |
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- | 16.4405 | 3.0 | 126 | 14.2335 |
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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 the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.7624
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0001
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+ - train_batch_size: 5
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+ - eval_batch_size: 5
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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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.4189 | 1.0 | 1600 | 0.8310 |
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+ | 1.058 | 2.0 | 3200 | 0.7714 |
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+ | 0.686 | 3.0 | 4800 | 0.7624 |
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  ### Framework versions
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