flant-t5-base-function-calling-v2
This model is a fine-tuned version of google/flan-t5-base on a Custom made Function Calling dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 58.4419
- Rouge2: 51.6603
- Rougel: 58.4402
- Rougelsum: 58.4419
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 15938 | 0.0000 | 58.4419 | 51.6602 | 58.44 | 58.4418 | 19.0 |
| 0.0 | 2.0 | 31876 | 0.0000 | 58.4419 | 51.6603 | 58.4402 | 58.4419 | 19.0 |
| 0.0 | 3.0 | 47814 | 0.0000 | 58.4419 | 51.6603 | 58.4402 | 58.4419 | 19.0 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Downloads last month
- 65