metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bw58_billsum_model
results: []
bw58_billsum_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: nan
- Rouge1: 0.1732
- Rouge2: 0.056
- Rougel: 0.1193
- Rougelsum: 0.1195
- Gen Len: 42.3387
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: 0.002
- train_batch_size: 15
- eval_batch_size: 15
- 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 | 66 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
No log | 2.0 | 132 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
No log | 3.0 | 198 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
No log | 4.0 | 264 | nan | 0.1732 | 0.056 | 0.1193 | 0.1195 | 42.3387 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2