English2AkuapemTwi
This model is a fine-tuned version of allenai/unifiedqa-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3098
- Bleu: 8.8875
- Gen Len: 17.5114
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.8304 | 1.0 | 2542 | 2.5363 | 0.2404 | 18.9072 |
| 2.5079 | 2.0 | 5084 | 2.2533 | 0.5763 | 18.6814 |
| 2.3362 | 3.0 | 7626 | 2.0838 | 0.8836 | 18.4972 |
| 2.2155 | 4.0 | 10168 | 1.9649 | 1.3748 | 18.2368 |
| 2.1066 | 5.0 | 12710 | 1.8767 | 2.0954 | 18.0588 |
| 2.0368 | 6.0 | 15252 | 1.8057 | 2.6294 | 17.9451 |
| 1.9641 | 7.0 | 17794 | 1.7436 | 3.0267 | 17.8342 |
| 1.9194 | 8.0 | 20336 | 1.6907 | 3.4947 | 18.0199 |
| 1.8474 | 9.0 | 22878 | 1.6438 | 4.0431 | 17.7758 |
| 1.8261 | 10.0 | 25420 | 1.6008 | 4.4608 | 17.7919 |
| 1.7833 | 11.0 | 27962 | 1.5642 | 4.9271 | 17.7868 |
| 1.7255 | 12.0 | 30504 | 1.5322 | 5.3659 | 17.7962 |
| 1.6913 | 13.0 | 33046 | 1.5020 | 5.9051 | 17.7301 |
| 1.6616 | 14.0 | 35588 | 1.4780 | 6.0824 | 17.7217 |
| 1.6522 | 15.0 | 38130 | 1.4550 | 6.6326 | 17.6227 |
| 1.6039 | 16.0 | 40672 | 1.4327 | 6.7955 | 17.6564 |
| 1.5926 | 17.0 | 43214 | 1.4119 | 7.0477 | 17.6876 |
| 1.5802 | 18.0 | 45756 | 1.3960 | 7.4328 | 17.6233 |
| 1.5438 | 19.0 | 48298 | 1.3816 | 7.4937 | 17.6359 |
| 1.5452 | 20.0 | 50840 | 1.3695 | 7.7696 | 17.5515 |
| 1.5423 | 21.0 | 53382 | 1.3569 | 7.9677 | 17.5596 |
| 1.5076 | 22.0 | 55924 | 1.3465 | 8.2829 | 17.5193 |
| 1.5183 | 23.0 | 58466 | 1.3386 | 8.4304 | 17.5486 |
| 1.4919 | 24.0 | 61008 | 1.3296 | 8.536 | 17.5714 |
| 1.4923 | 25.0 | 63550 | 1.3242 | 8.6446 | 17.4343 |
| 1.488 | 26.0 | 66092 | 1.3177 | 8.7099 | 17.5126 |
| 1.477 | 27.0 | 68634 | 1.3144 | 8.8431 | 17.5035 |
| 1.4724 | 28.0 | 71176 | 1.3116 | 8.8588 | 17.5277 |
| 1.4488 | 29.0 | 73718 | 1.3105 | 8.8989 | 17.5024 |
| 1.4837 | 30.0 | 76260 | 1.3098 | 8.8875 | 17.5114 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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