flant-t5-small-function-calling
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: 0.0000
- Rouge1: 58.4404
- Rouge2: 51.6574
- Rougel: 58.4415
- Rougelsum: 58.4417
- Gen Len: 19.0
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0004 | 1.0 | 15938 | 0.0000 | 58.4404 | 51.6574 | 58.4415 | 58.4417 | 19.0 |
| 0.0 | 2.0 | 31876 | 0.0000 | 58.4404 | 51.6574 | 58.4415 | 58.4417 | 19.0 |
| 0.0 | 3.0 | 47814 | 0.0000 | 58.4404 | 51.6574 | 58.4415 | 58.4417 | 19.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.15.2
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