| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: speller-t5 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # speller-t5 |
|
|
| This model is a fine-tuned version of [summervent/speller-t5](https://huggingface.co/summervent/speller-t5) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3569 |
| - Rouge1: 14.5717 |
| - Rouge2: 5.4522 |
| - Rougel: 14.6057 |
| - Rougelsum: 14.7357 |
| - Gen Len: 30.8324 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| |
| | 0.6467 | 0.22 | 1500 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 | |
| | 0.6408 | 0.44 | 3000 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 | |
| | 0.6343 | 0.66 | 4500 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 | |
| | 0.6372 | 0.87 | 6000 | 0.3569 | 14.5717 | 5.4522 | 14.6057 | 14.7357 | 30.8324 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.26.0 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.9.0 |
| - Tokenizers 0.13.2 |
|
|
