metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-search-terms
results: []
flan-search-terms
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: 0.0077
- Rouge1: 5.2275
- Rouge2: 4.3657
- Rougel: 4.8365
- Rougelsum: 4.8414
- Gen Len: 8.819
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- 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 | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0301 | 1.0 | 1500 | 0.0188 | 6.3132 | 5.5233 | 5.9306 | 5.9285 | 4.9403 |
| 0.0167 | 2.0 | 3000 | 0.0118 | 5.6248 | 4.8018 | 5.2386 | 5.238 | 7.2617 |
| 0.0136 | 3.0 | 4500 | 0.0093 | 5.2543 | 4.4034 | 4.8643 | 4.8675 | 8.599 |
| 0.0114 | 4.0 | 6000 | 0.0080 | 5.3013 | 4.448 | 4.9117 | 4.9183 | 8.5447 |
| 0.0105 | 5.0 | 7500 | 0.0077 | 5.2275 | 4.3657 | 4.8365 | 4.8414 | 8.819 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1