base_model: moro01525/T5_MLM | |
tags: | |
- generated_from_trainer | |
model-index: | |
- name: T5_MLM | |
results: [] | |
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# T5_MLM | |
This model is a fine-tuned version of [moro01525/T5_MLM](https://huggingface.co/moro01525/T5_MLM) on an unknown dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 0.0769 | |
## 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: 4 | |
- 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 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | | |
|:-------------:|:------:|:----:|:---------------:| | |
| 0.0808 | 0.1333 | 1000 | 0.0779 | | |
| 0.081 | 0.2667 | 2000 | 0.0767 | | |
| 0.0803 | 0.4 | 3000 | 0.0770 | | |
| 0.0811 | 0.5333 | 4000 | 0.0767 | | |
| 0.0763 | 0.6667 | 5000 | 0.0771 | | |
| 0.0783 | 0.8 | 6000 | 0.0761 | | |
| 0.0813 | 0.9333 | 7000 | 0.0769 | | |
### Framework versions | |
- Transformers 4.42.4 | |
- Pytorch 2.3.1+cu121 | |
- Datasets 2.20.0 | |
- Tokenizers 0.19.1 | |