GEC-T5-small / README.md
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---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: GEC-T5-small
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. -->
# GEC-T5-small
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6816
## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log | 1.0 | 325 | 1.8041 |
| 1.908 | 2.0 | 650 | 1.7697 |
| 1.908 | 3.0 | 975 | 1.7359 |
| 1.8218 | 4.0 | 1300 | 1.7228 |
| 1.7942 | 5.0 | 1625 | 1.7061 |
| 1.7942 | 6.0 | 1950 | 1.6981 |
| 1.7497 | 7.0 | 2275 | 1.6910 |
| 1.7379 | 8.0 | 2600 | 1.6848 |
| 1.7379 | 9.0 | 2925 | 1.6828 |
| 1.7165 | 10.0 | 3250 | 1.6816 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1