flan-t5-small-intra_model
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3364
- Edit Distance: 1.3588
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Edit Distance |
|---|---|---|---|---|
| 0.4815 | 1.0 | 2021 | 0.3643 | 1.0661 |
| 0.4089 | 2.0 | 4042 | 0.3463 | 1.0606 |
| 0.385 | 3.0 | 6063 | 0.3410 | 1.3289 |
| 0.3767 | 4.0 | 8084 | 0.3385 | 1.2014 |
| 0.3731 | 5.0 | 10105 | 0.3376 | 1.1940 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.6.1
- Tokenizers 0.14.1
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Base model
google/flan-t5-small