flant-t5-small-function-calling-v2
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: 57.6757
- Rouge2: 50.7633
- Rougel: 57.677
- Rougelsum: 57.677
- 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: 32
- eval_batch_size: 32
- 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 | 6250 | 0.0000 | 57.6757 | 50.7633 | 57.677 | 57.677 | 19.0 |
| 0.0002 | 2.0 | 12500 | 0.0000 | 57.6757 | 50.7633 | 57.677 | 57.677 | 19.0 |
| 0.0001 | 3.0 | 18750 | 0.0000 | 57.6757 | 50.7633 | 57.677 | 57.677 | 19.0 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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