metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-chat
results: []
flan-t5-small-chat
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: 0.2367
- Rouge1: 49.588
- Rouge2: 44.597
- Rougel: 46.6928
- Rougelsum: 46.662
- 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: 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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 26 | 1.0858 | 4.9303 | 0.674 | 4.7306 | 4.7335 | 8.1731 |
| No log | 2.0 | 52 | 0.5339 | 39.1598 | 30.9426 | 39.0844 | 39.1597 | 16.3462 |
| No log | 3.0 | 78 | 0.2892 | 47.1834 | 41.288 | 45.1755 | 45.1471 | 19.0 |
| No log | 4.0 | 104 | 0.2367 | 49.588 | 44.597 | 46.6928 | 46.662 | 19.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1