metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4794
- Rouge1: 0.3292
- Rouge2: 0.1311
- Rougel: 0.2767
- Rougelsum: 0.2770
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 4
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 63 | 1.7278 | 0.3184 | 0.1061 | 0.2644 | 0.2643 |
| No log | 2.0 | 126 | 1.5746 | 0.3146 | 0.1271 | 0.2676 | 0.2678 |
| No log | 3.0 | 189 | 1.4806 | 0.3135 | 0.1268 | 0.2764 | 0.2773 |
| No log | 4.0 | 252 | 1.4676 | 0.3217 | 0.1246 | 0.2700 | 0.2703 |
| No log | 5.0 | 315 | 1.4794 | 0.3292 | 0.1311 | 0.2767 | 0.2770 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2