test-demo
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3257
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 7.6667
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 4.4727 | 0.0 | 0.0 | 0.0 | 0.0 | 7.6667 |
| No log | 2.0 | 2 | 4.4727 | 0.0 | 0.0 | 0.0 | 0.0 | 7.6667 |
| No log | 3.0 | 3 | 4.4727 | 0.0 | 0.0 | 0.0 | 0.0 | 7.6667 |
| No log | 4.0 | 4 | 4.3257 | 0.0 | 0.0 | 0.0 | 0.0 | 7.6667 |
| No log | 5.0 | 5 | 4.3257 | 0.0 | 0.0 | 0.0 | 0.0 | 7.6667 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3