| --- |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: mbay_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. --> |
|
|
| # mbay_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: 2.0621 |
| - Bleu: 5.0201 |
| - Gen Len: 14.5313 |
| |
| ## 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: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
| | 2.56 | 1.0 | 2479 | 2.3016 | 2.673 | 14.9178 | |
| | 2.4556 | 2.0 | 4958 | 2.2282 | 3.1563 | 15.0853 | |
| | 2.3879 | 3.0 | 7437 | 2.1786 | 3.5498 | 14.9548 | |
| | 2.3574 | 4.0 | 9916 | 2.1417 | 4.0704 | 15.0213 | |
| | 2.3192 | 5.0 | 12395 | 2.1145 | 4.4057 | 15.0418 | |
| | 2.3068 | 6.0 | 14874 | 2.0944 | 4.5467 | 14.9812 | |
| | 2.2855 | 7.0 | 17353 | 2.0796 | 4.7223 | 14.7415 | |
| | 2.2584 | 8.0 | 19832 | 2.0701 | 4.7772 | 14.5867 | |
| | 2.2302 | 9.0 | 22311 | 2.0637 | 4.9559 | 14.6012 | |
| | 2.2502 | 10.0 | 24790 | 2.0621 | 5.0201 | 14.5313 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.33.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
| |
