tokipona_to_eng_model_v1
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2414
- Bleu: 25.378
- Gen Len: 8.8964
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: 0.0001
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.8666 | 1.0 | 1430 | 1.4045 | 17.3719 | 8.7792 |
| 1.4468 | 2.0 | 2860 | 1.2761 | 20.4928 | 8.9122 |
| 1.2337 | 3.0 | 4290 | 1.2259 | 22.5629 | 8.8094 |
| 1.1073 | 4.0 | 5720 | 1.2052 | 23.2202 | 8.9101 |
| 1.0195 | 5.0 | 7150 | 1.2041 | 24.1567 | 8.9248 |
| 0.9152 | 6.0 | 8580 | 1.2082 | 24.1598 | 8.9977 |
| 0.8753 | 7.0 | 10010 | 1.2128 | 24.7257 | 8.8864 |
| 0.818 | 8.0 | 11440 | 1.2249 | 25.0503 | 8.9076 |
| 0.7854 | 9.0 | 12870 | 1.2341 | 25.0301 | 8.9097 |
| 0.7655 | 10.0 | 14300 | 1.2414 | 25.378 | 8.8964 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for askatasuna/tokipona_to_eng_model_v1
Base model
google-t5/t5-base