| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: mt5-aym-lex | |
| 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. --> | |
| # mt5-aym-lex | |
| This model is a fine-tuned version of [alvations/mt5-aym-lex](https://huggingface.co/alvations/mt5-aym-lex) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Bleu: 3.1238 | |
| - Chrf: 24.4605 | |
| - Gen Len: 17.3872 | |
| - Loss: 0.1883 | |
| ## 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: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - training_steps: 600 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Bleu | Chrf | Gen Len | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:------:|:-------:|:-------:|:---------------:| | |
| | 0.067 | 4.86 | 20000 | 2.9344 | 24.2586 | 17.5005 | 0.1844 | | |
| | 0.065 | 9.71 | 40000 | 3.1238 | 24.4605 | 17.3872 | 0.1883 | | |
| ### Framework versions | |
| - Transformers 4.29.2 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |