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translation_flan_base_v6
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 92.3473
- Gen Len: 4.4
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: 64
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 138 | nan | 92.3473 | 4.4 |
| No log | 2.0 | 276 | nan | 92.3473 | 4.4 |
| No log | 3.0 | 414 | nan | 92.3473 | 4.4 |
| 0.0 | 4.0 | 552 | nan | 92.3473 | 4.4 |
| 0.0 | 5.0 | 690 | nan | 92.3473 | 4.4 |
| 0.0 | 6.0 | 828 | nan | 92.3473 | 4.4 |
| 0.0 | 7.0 | 966 | nan | 92.3473 | 4.4 |
| 0.0 | 8.0 | 1104 | nan | 92.3473 | 4.4 |
| 0.0 | 9.0 | 1242 | nan | 92.3473 | 4.4 |
| 0.0 | 10.0 | 1380 | nan | 92.3473 | 4.4 |
| 0.0 | 11.0 | 1518 | nan | 92.3473 | 4.4 |
| 0.0 | 12.0 | 1656 | nan | 92.3473 | 4.4 |
| 0.0 | 13.0 | 1794 | nan | 92.3473 | 4.4 |
| 0.0 | 14.0 | 1932 | nan | 92.3473 | 4.4 |
| 0.0 | 15.0 | 2070 | nan | 92.3473 | 4.4 |
| 0.0 | 16.0 | 2208 | nan | 92.3473 | 4.4 |
| 0.0 | 17.0 | 2346 | nan | 92.3473 | 4.4 |
| 0.0 | 18.0 | 2484 | nan | 92.3473 | 4.4 |
| 0.0 | 19.0 | 2622 | nan | 92.3473 | 4.4 |
| 0.0 | 20.0 | 2760 | nan | 92.3473 | 4.4 |
| 0.0 | 21.0 | 2898 | nan | 92.3473 | 4.4 |
| 0.0 | 22.0 | 3036 | nan | 92.3473 | 4.4 |
| 0.0 | 23.0 | 3174 | nan | 92.3473 | 4.4 |
| 0.0 | 24.0 | 3312 | nan | 92.3473 | 4.4 |
| 0.0 | 25.0 | 3450 | nan | 92.3473 | 4.4 |
| 0.0 | 26.0 | 3588 | nan | 92.3473 | 4.4 |
| 0.0 | 27.0 | 3726 | nan | 92.3473 | 4.4 |
| 0.0 | 28.0 | 3864 | nan | 92.3473 | 4.4 |
| 0.0 | 29.0 | 4002 | nan | 92.3473 | 4.4 |
| 0.0 | 30.0 | 4140 | nan | 92.3473 | 4.4 |
| 0.0 | 31.0 | 4278 | nan | 92.3473 | 4.4 |
| 0.0 | 32.0 | 4416 | nan | 92.3473 | 4.4 |
| 0.0 | 33.0 | 4554 | nan | 92.3473 | 4.4 |
| 0.0 | 34.0 | 4692 | nan | 92.3473 | 4.4 |
| 0.0 | 35.0 | 4830 | nan | 92.3473 | 4.4 |
| 0.0 | 36.0 | 4968 | nan | 92.3473 | 4.4 |
| 0.0 | 37.0 | 5106 | nan | 92.3473 | 4.4 |
| 0.0 | 38.0 | 5244 | nan | 92.3473 | 4.4 |
| 0.0 | 39.0 | 5382 | nan | 92.3473 | 4.4 |
| 0.0 | 40.0 | 5520 | nan | 92.3473 | 4.4 |
| 0.0 | 41.0 | 5658 | nan | 92.3473 | 4.4 |
| 0.0 | 42.0 | 5796 | nan | 92.3473 | 4.4 |
| 0.0 | 43.0 | 5934 | nan | 92.3473 | 4.4 |
| 0.0 | 44.0 | 6072 | nan | 92.3473 | 4.4 |
| 0.0 | 45.0 | 6210 | nan | 92.3473 | 4.4 |
| 0.0 | 46.0 | 6348 | nan | 92.3473 | 4.4 |
| 0.0 | 47.0 | 6486 | nan | 92.3473 | 4.4 |
| 0.0 | 48.0 | 6624 | nan | 92.3473 | 4.4 |
| 0.0 | 49.0 | 6762 | nan | 92.3473 | 4.4 |
| 0.0 | 50.0 | 6900 | nan | 92.3473 | 4.4 |
| 0.0 | 51.0 | 7038 | nan | 92.3473 | 4.4 |
| 0.0 | 52.0 | 7176 | nan | 92.3473 | 4.4 |
| 0.0 | 53.0 | 7314 | nan | 92.3473 | 4.4 |
| 0.0 | 54.0 | 7452 | nan | 92.3473 | 4.4 |
| 0.0 | 55.0 | 7590 | nan | 92.3473 | 4.4 |
| 0.0 | 56.0 | 7728 | nan | 92.3473 | 4.4 |
| 0.0 | 57.0 | 7866 | nan | 92.3473 | 4.4 |
| 0.0 | 58.0 | 8004 | nan | 92.3473 | 4.4 |
| 0.0 | 59.0 | 8142 | nan | 92.3473 | 4.4 |
| 0.0 | 60.0 | 8280 | nan | 92.3473 | 4.4 |
| 0.0 | 61.0 | 8418 | nan | 92.3473 | 4.4 |
| 0.0 | 62.0 | 8556 | nan | 92.3473 | 4.4 |
| 0.0 | 63.0 | 8694 | nan | 92.3473 | 4.4 |
| 0.0 | 64.0 | 8832 | nan | 92.3473 | 4.4 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
