metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: results
results: []
results
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3572
- Rouge1: 0.5391
- Rouge2: 0.4088
- Rougel: 0.5165
- Rougelsum: 0.5194
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 88 | 1.5434 | 0.4640 | 0.3213 | 0.4355 | 0.4394 |
| No log | 2.0 | 176 | 1.3913 | 0.5415 | 0.4119 | 0.5197 | 0.5240 |
| No log | 3.0 | 264 | 1.3572 | 0.5391 | 0.4088 | 0.5165 | 0.5194 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1