metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test-dialogue-summarization-headers
results: []
test-dialogue-summarization-headers
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: 2.4536
- Rouge: {'rouge1': 44.8698, 'rouge2': 19.92, 'rougeL': 20.7147, 'rougeLsum': 20.7147}
- Bert Score: 0.8733
- Bleurt 20: -0.8548
- Gen Len: 15.305
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: 7
- eval_batch_size: 7
- seed: 42
- 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 | Rouge | Bert Score | Bleurt 20 | Gen Len |
|---|---|---|---|---|---|---|---|
| 2.6545 | 1.0 | 186 | 2.5321 | {'rouge1': 45.8489, 'rouge2': 19.7993, 'rougeL': 20.5196, 'rougeLsum': 20.5196} | 0.8737 | -0.8571 | 15.16 |
| 2.6779 | 2.0 | 372 | 2.4884 | {'rouge1': 44.2284, 'rouge2': 19.6646, 'rougeL': 20.6804, 'rougeLsum': 20.6804} | 0.8737 | -0.8594 | 15.13 |
| 2.6701 | 3.0 | 558 | 2.4682 | {'rouge1': 44.6249, 'rouge2': 19.9539, 'rougeL': 20.6036, 'rougeLsum': 20.6036} | 0.8737 | -0.8576 | 15.25 |
| 2.597 | 4.0 | 744 | 2.4582 | {'rouge1': 45.0018, 'rouge2': 19.7794, 'rougeL': 20.647, 'rougeLsum': 20.647} | 0.8739 | -0.8582 | 15.295 |
| 2.5861 | 5.0 | 930 | 2.4536 | {'rouge1': 44.8698, 'rouge2': 19.92, 'rougeL': 20.7147, 'rougeLsum': 20.7147} | 0.8733 | -0.8548 | 15.305 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0