billsum_2118_t5-v1_1-base
This model is a fine-tuned version of google/t5-v1_1-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5157
- Rouge1: 0.1576
- Rouge2: 0.0565
- Rougel: 0.128
- Rougelsum: 0.1279
- Gen Len: 18.9871
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9403 | 6.75 | 500 | 2.5157 | 0.1576 | 0.0565 | 0.128 | 0.1279 | 18.9871 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
google/t5-v1_1-base