| license: mit | |
| base_model: VietAI/vit5-large | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: pretrain-vit5-large | |
| 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. --> | |
| # pretrain-vit5-large | |
| This model is a fine-tuned version of [VietAI/vit5-large](https://huggingface.co/VietAI/vit5-large) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.0415 | |
| ## 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: 1e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | 7.9301 | 0.51 | 20 | 5.5874 | | |
| | 4.5762 | 1.03 | 40 | 4.2359 | | |
| | 4.1575 | 1.54 | 60 | 4.1457 | | |
| | 3.9223 | 2.05 | 80 | 4.0708 | | |
| | 3.9971 | 2.56 | 100 | 4.0415 | | |
| ### Framework versions | |
| - Transformers 4.33.1 | |
| - Pytorch 2.0.1+cu117 | |
| - Datasets 2.14.5 | |
| - Tokenizers 0.13.3 | |