metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my-custom-repo2
results: []
my-custom-repo2
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: 2.7633
- Rouge1: 7.5698
- Rouge2: 7.2187
- Rougel: 7.5696
- Rougelsum: 7.5699
- Gen Len: 0.0
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 48 | 7.0588 | 6.3855 | 5.6369 | 6.0034 | 6.001 | 4.2708 |
| No log | 2.0 | 96 | 4.2872 | 6.2467 | 5.4606 | 5.8714 | 5.8778 | 4.6979 |
| No log | 3.0 | 144 | 3.5187 | 6.3718 | 5.6928 | 6.0686 | 6.0805 | 4.0104 |
| No log | 4.0 | 192 | 2.9485 | 7.5698 | 7.2187 | 7.5696 | 7.5699 | 0.0 |
| No log | 5.0 | 240 | 2.7633 | 7.5698 | 7.2187 | 7.5696 | 7.5699 | 0.0 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1