metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-insights
results: []
flan-t5-base-insights
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: 0.9344
- Rouge1: 8.8258
- Rouge2: 6.8021
- Rougel: 8.5566
- Rougelsum: 8.7828
- Gen Len: 19.0
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: 1
- eval_batch_size: 1
- 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 |
---|---|---|---|---|---|---|---|---|
1.6073 | 1.0 | 172 | 1.2435 | 8.9196 | 6.9144 | 8.8527 | 8.7692 | 19.0 |
1.3038 | 2.0 | 344 | 1.0558 | 8.9196 | 6.9144 | 8.8527 | 8.7692 | 19.0 |
1.14 | 3.0 | 516 | 0.9817 | 8.7663 | 6.5345 | 8.4648 | 8.731 | 19.0 |
1.1009 | 4.0 | 688 | 0.9463 | 8.6299 | 6.3863 | 8.2671 | 8.6138 | 19.0 |
1.0771 | 5.0 | 860 | 0.9344 | 8.8258 | 6.8021 | 8.5566 | 8.7828 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0