| license: cc-by-nc-sa-4.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: finetuned_parsinlu_en_fa | |
| 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. --> | |
| # finetuned_parsinlu_en_fa | |
| This model is a fine-tuned version of [persiannlp/mt5-small-parsinlu-translation_en_fa](https://huggingface.co/persiannlp/mt5-small-parsinlu-translation_en_fa) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5214 | |
| - Bleu: 13.5318 | |
| - Gen Len: 12.1251 | |
| ## 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: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:| | |
| | 1.7125 | 1.0 | 30987 | 1.5265 | 13.4269 | 12.127 | | |
| | 1.6943 | 2.0 | 61974 | 1.5214 | 13.5318 | 12.1251 | | |
| ### Framework versions | |
| - Transformers 4.20.1 | |
| - Pytorch 1.12.0+cu113 | |
| - Datasets 2.3.2 | |
| - Tokenizers 0.12.1 | |