flant5-large-lora
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6119
- Rouge1: 8.9675
- Rouge2: 0.6714
- Rougel: 8.0407
- Rougelsum: 8.3753
- Gen Len: 18.37
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: 1e-05
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.8402 | 1.0 | 1538 | 0.7486 | 8.8441 | 0.6859 | 7.9731 | 8.3103 | 19.502 |
| 0.8152 | 2.0 | 3076 | 0.6119 | 8.9675 | 0.6714 | 8.0407 | 8.3753 | 18.37 |
Framework versions
- PEFT 0.11.1
- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.15.2
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Base model
google/flan-t5-large