flan-t5-xl-finetuned-unnatural-instructions
This model is a fine-tuned version of google/flan-t5-xl on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1224
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: 5e-05
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 5000
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.1345 | 0.02 | 1000 | 0.1386 |
0.14 | 0.03 | 2000 | 0.1336 |
0.1402 | 0.05 | 3000 | 0.1282 |
0.129 | 0.07 | 4000 | 0.1235 |
0.1356 | 0.08 | 5000 | 0.1224 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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