| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Helsinki-NLP/opus-mt-es-es |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: '6000' |
| 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. --> |
|
|
| # 6000 |
|
|
| This model is a fine-tuned version of [Helsinki-NLP/opus-mt-es-es](https://huggingface.co/Helsinki-NLP/opus-mt-es-es) on the English-ASL glosses dataset and spanish-MSL glosses dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2172 |
| - Model Preparation Time: 0.0055 |
| - Bleu Msl: 90.1233 |
| - Bleu Asl: 0 |
| - Ter Msl: 6.3523 |
| - Ter Asl: 100 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 64 |
| - seed: 42 |
| - 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 |
| - num_epochs: 30 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Bleu Msl | Bleu Asl | Ter Msl | Ter Asl | |
| |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:--------:|:--------:|:--------:|:-------:| |
| | No log | 1.0 | 150 | 2.1707 | 0.0055 | 6.2392 | 23.0477 | 102.9488 | 79.8599 | |
| | No log | 2.0 | 300 | 1.5545 | 0.0055 | 12.5922 | 39.9535 | 98.5256 | 65.6743 | |
| | No log | 3.0 | 450 | 1.1397 | 0.0055 | 53.7526 | 56.8191 | 35.1258 | 34.5009 | |
| | 2.0124 | 4.0 | 600 | 0.8560 | 0.0055 | 61.3665 | 58.7258 | 26.5395 | 33.1874 | |
| | 2.0124 | 5.0 | 750 | 0.6526 | 0.0055 | 66.5262 | 60.0265 | 23.0703 | 32.7496 | |
| | 2.0124 | 6.0 | 900 | 0.5405 | 0.0055 | 42.9331 | 69.2419 | 32.0035 | 20.7531 | |
| | 0.7028 | 7.0 | 1050 | 0.4769 | 0.0055 | 62.3002 | 73.9626 | 22.4631 | 16.9002 | |
| | 0.7028 | 8.0 | 1200 | 0.4427 | 0.0055 | 72.1107 | 84.5297 | 16.9991 | 8.0560 | |
| | 0.7028 | 9.0 | 1350 | 0.4153 | 0.0055 | 74.8931 | 83.3473 | 16.1318 | 9.3695 | |
| | 0.3613 | 10.0 | 1500 | 0.3961 | 0.0055 | 74.8480 | 85.2817 | 15.0911 | 8.4063 | |
| | 0.3613 | 11.0 | 1650 | 0.3794 | 0.0055 | 75.4490 | 84.4129 | 15.1778 | 8.4939 | |
| | 0.3613 | 12.0 | 1800 | 0.3563 | 0.0055 | 76.8164 | 86.0871 | 13.7901 | 7.6182 | |
| | 0.3613 | 13.0 | 1950 | 0.3277 | 0.0055 | 78.1801 | 85.5103 | 13.5299 | 7.9685 | |
| | 0.2432 | 14.0 | 2100 | 0.3070 | 0.0055 | 78.6695 | 86.9448 | 13.2697 | 7.5306 | |
| | 0.2432 | 15.0 | 2250 | 0.2972 | 0.0055 | 77.6165 | 86.1077 | 13.5299 | 7.7058 | |
| | 0.2432 | 16.0 | 2400 | 0.2917 | 0.0055 | 78.0856 | 86.5549 | 13.0095 | 7.5306 | |
| | 0.1592 | 17.0 | 2550 | 0.2855 | 0.0055 | 77.3656 | 86.8329 | 13.2697 | 7.2680 | |
| | 0.1592 | 18.0 | 2700 | 0.2804 | 0.0055 | 78.3336 | 54.3313 | 12.9228 | 50.6130 | |
| | 0.1592 | 19.0 | 2850 | 0.2791 | 0.0055 | 77.4559 | 87.1498 | 13.2697 | 7.2680 | |
| | 0.1188 | 20.0 | 3000 | 0.2749 | 0.0055 | 78.0130 | 54.3314 | 12.9228 | 51.0508 | |
| | 0.1188 | 21.0 | 3150 | 0.2717 | 0.0055 | 78.2950 | 53.8351 | 12.5759 | 51.3135 | |
| | 0.1188 | 22.0 | 3300 | 0.2710 | 0.0055 | 78.2663 | 54.3637 | 12.6626 | 50.8757 | |
| | 0.1188 | 23.0 | 3450 | 0.2686 | 0.0055 | 77.8997 | 54.1712 | 13.0095 | 50.8757 | |
| | 0.0992 | 24.0 | 3600 | 0.2669 | 0.0055 | 79.2314 | 54.3758 | 12.2290 | 51.0508 | |
| | 0.0992 | 25.0 | 3750 | 0.2656 | 0.0055 | 78.2862 | 54.2965 | 12.5759 | 51.1384 | |
| | 0.0992 | 26.0 | 3900 | 0.2643 | 0.0055 | 78.9745 | 54.2624 | 12.4024 | 50.8757 | |
| | 0.0889 | 27.0 | 4050 | 0.2651 | 0.0055 | 79.3330 | 54.3778 | 12.1422 | 50.9632 | |
| | 0.0889 | 28.0 | 4200 | 0.2643 | 0.0055 | 78.4405 | 54.3716 | 12.3157 | 50.9632 | |
| | 0.0889 | 29.0 | 4350 | 0.2639 | 0.0055 | 78.5866 | 54.3716 | 12.3157 | 50.9632 | |
| | 0.083 | 30.0 | 4500 | 0.2639 | 0.0055 | 78.5866 | 54.3716 | 12.3157 | 50.9632 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.47.0 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.2.0 |
| - Tokenizers 0.21.0 |
|
|
