| library_name: transformers | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - iva_mt_wslot | |
| metrics: | |
| - bleu | |
| model-index: | |
| - name: seq2seq_imlla | |
| 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. --> | |
| # seq2seq_imlla | |
| This model is a fine-tuned version of [](https://huggingface.co/) on the iva_mt_wslot dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 6.0658 | |
| - Bleu: 0.0042 | |
| - Gen Len: 5.8248 | |
| ## 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 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 32 | |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 5 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | | |
| |:-------------:|:------:|:----:|:---------------:|:------:|:-------:| | |
| | 7.441 | 0.9992 | 636 | 7.0735 | 0.0 | 5.3206 | | |
| | 6.5312 | 2.0 | 1273 | 6.4544 | 0.0175 | 9.5238 | | |
| | 6.0704 | 2.9992 | 1909 | 6.2110 | 0.0007 | 4.9967 | | |
| | 5.8907 | 4.0 | 2546 | 6.1000 | 0.0055 | 6.944 | | |
| | 5.7606 | 4.9961 | 3180 | 6.0658 | 0.0042 | 5.8248 | | |
| ### Framework versions | |
| - Transformers 4.46.2 | |
| - Pytorch 2.5.0+cu121 | |
| - Datasets 3.1.0 | |
| - Tokenizers 0.20.3 | |