<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
summary_token
This model is a fine-tuned version of t5-small on the billsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4884
- Rouge1: 0.1426
- Rouge2: 0.0523
- Rougel: 0.1189
- Rougelsum: 0.1192
- 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 62 | 2.7860 | 0.1286 | 0.0372 | 0.1087 | 0.1087 | 19.0 |
| No log | 2.0 | 124 | 2.5715 | 0.1359 | 0.0485 | 0.1141 | 0.1143 | 19.0 |
| No log | 3.0 | 186 | 2.5065 | 0.1394 | 0.0513 | 0.1164 | 0.1167 | 19.0 |
| No log | 4.0 | 248 | 2.4884 | 0.1426 | 0.0523 | 0.1189 | 0.1192 | 19.0 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
