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trained_model
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3339
- Rouge1: 0.3878
- Rouge2: 0.2902
- Rougel: 0.3871
- Rougelsum: 0.3871
- Gen Len: 13.16
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: 4e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9101 | 2.0 | 100 | 1.4032 | 0.3928 | 0.2897 | 0.3915 | 0.3911 | 12.7 |
| 1.4264 | 4.0 | 200 | 1.3399 | 0.3826 | 0.2908 | 0.3808 | 0.3809 | 12.68 |
| 1.3121 | 6.0 | 300 | 1.3339 | 0.3878 | 0.2902 | 0.3871 | 0.3871 | 13.16 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
