metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-code_de_travail
results: []
flan-t5-small-code_de_travail
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8644
- Rouge1: 25.4859
- Rouge2: 9.5703
- Rougel: 20.373
- Rougelsum: 22.7081
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 100 | 1.9280 | 25.07 | 8.9144 | 19.6643 | 22.1851 | 19.0 |
| No log | 2.0 | 200 | 1.8979 | 25.3572 | 9.3844 | 20.223 | 22.645 | 19.0 |
| No log | 3.0 | 300 | 1.8786 | 25.3392 | 9.4074 | 20.2737 | 22.6969 | 19.0 |
| No log | 4.0 | 400 | 1.8671 | 25.2214 | 9.3115 | 20.2123 | 22.5665 | 19.0 |
| 2.1021 | 5.0 | 500 | 1.8644 | 25.4859 | 9.5703 | 20.373 | 22.7081 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2