| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - sacrebleu | |
| model-index: | |
| - name: final_tcc_model | |
| 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. --> | |
| # final_tcc_model | |
| 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: 0.7783 | |
| - Sacrebleu: 7.6467 | |
| - Gen Len: 17.9035 | |
| ## 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: 16 | |
| - eval_batch_size: 16 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| | |
| | No log | 1.0 | 275 | 0.8201 | 7.1607 | 17.8917 | | |
| | 0.9564 | 2.0 | 550 | 0.7971 | 7.3848 | 17.9008 | | |
| | 0.9564 | 3.0 | 825 | 0.7862 | 7.5097 | 17.909 | | |
| | 0.8977 | 4.0 | 1100 | 0.7803 | 7.5882 | 17.9035 | | |
| | 0.8977 | 5.0 | 1375 | 0.7783 | 7.6467 | 17.9035 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.1+cpu | |
| - Datasets 2.13.0 | |
| - Tokenizers 0.13.3 | |