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dyula-french-translation
Professor/dyula-french-translation
dyula-french-translation is a machine learning model from Professor. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Aug 3, 2024
- Updated
- Aug 3, 2024
- SHA
- 30de4ca3
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
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dyula-french-translation
This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2685
- Bleu: 1.0635
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: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2724 | 1.0 | 505 | 0.3235 |
| 0.3418 | 2.0 | 1010 | 0.3107 |
| 0.3266 | 3.0 | 1515 | 0.3046 |
| 0.3213 | 4.0 | 2020 | 0.3003 |
| 0.3139 | 5.0 | 2525 | 0.2969 |
| 0.3114 | 6.0 | 3030 | 0.2941 |
| 0.3068 | 7.0 | 3535 | 0.2917 |
| 0.3034 | 8.0 | 4040 | 0.2896 |
| 0.3009 | 9.0 | 4545 | 0.2878 |
| 0.2962 | 10.0 | 5050 | 0.2863 |
| 0.2964 | 11.0 | 5555 | 0.2847 |
| 0.2923 | 12.0 | 6060 | 0.2835 |
| 0.2899 | 13.0 | 6565 | 0.2823 |
| 0.29 | 14.0 | 7070 | 0.2813 |
| 0.2874 | 15.0 | 7575 | 0.2803 |
| 0.2831 | 16.0 | 8080 | 0.2792 |
| 0.2843 | 17.0 | 8585 | 0.2785 |
| 0.2824 | 18.0 | 9090 | 0.2778 |
| 0.2805 | 19.0 | 9595 | 0.2769 |
| 0.2786 | 20.0 | 10100 | 0.2760 |
| 0.2782 | 21.0 | 10605 | 0.2754 |
| 0.2761 | 22.0 | 11110 | 0.2749 |
| 0.2749 | 23.0 | 11615 | 0.2744 |
| 0.2744 | 24.0 | 12120 | 0.2737 |
| 0.2743 | 25.0 | 12625 | 0.2735 |
| 0.271 | 26.0 | 13130 | 0.2729 |
| 0.2713 | 27.0 | 13635 | 0.2723 |
| 0.2702 | 28.0 | 14140 | 0.2719 |
| 0.2697 | 29.0 | 14645 | 0.2718 |
| 0.2679 | 30.0 | 15150 | 0.2713 |
| 0.267 | 31.0 | 15655 | 0.2709 |
| 0.2688 | 32.0 | 16160 | 0.2706 |
| 0.2658 | 33.0 | 16665 | 0.2703 |
| 0.2647 | 34.0 | 17170 | 0.2702 |
| 0.264 | 35.0 | 17675 | 0.2698 |
| 0.265 | 36.0 | 18180 | 0.2696 |
| 0.2659 | 37.0 | 18685 | 0.2694 |
| 0.2638 | 38.0 | 19190 | 0.2694 |
| 0.2637 | 39.0 | 19695 | 0.2691 |
| 0.2629 | 40.0 | 20200 | 0.2692 |
| 0.2611 | 41.0 | 20705 | 0.2689 |
| 0.2625 | 42.0 | 21210 | 0.2689 |
| 0.2601 | 43.0 | 21715 | 0.2688 |
| 0.2633 | 44.0 | 22220 | 0.2687 |
| 0.261 | 45.0 | 22725 | 0.2687 |
| 0.2603 | 46.0 | 23230 | 0.2686 |
| 0.2605 | 47.0 | 23735 | 0.2686 |
| 0.2628 | 48.0 | 24240 | 0.2685 |
| 0.26 | 49.0 | 24745 | 0.2685 |
| 0.2602 | 50.0 | 25250 | 0.2685 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- t5
- License
- apache-2.0
- Created
- Aug 3, 2024
- Updated
- Aug 3, 2024