flan-t5-base-finetuned-pwkp
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9315
- Sacrebleu: 41.2105
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: 5.6e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 1.0683 | 1.0 | 3421 | 0.9984 | 40.9399 |
| 0.9748 | 2.0 | 6842 | 0.9584 | 41.0858 |
| 0.9279 | 3.0 | 10263 | 0.9433 | 41.1863 |
| 0.9025 | 4.0 | 13684 | 0.9315 | 41.2105 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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