metadata
library_name: transformers
license: apache-2.0
base_model: google/flan-t5-small
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-neutralisation
results: []
flan-t5-neutralisation
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: 0.0412
- Bleu: 54.4994
- Gen Len: 18.5938
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 440 | 0.0773 | 52.243 | 18.5417 |
| 0.2124 | 2.0 | 880 | 0.0626 | 53.6111 | 18.5104 |
| 0.1009 | 3.0 | 1320 | 0.0501 | 54.3864 | 18.5625 |
| 0.0742 | 4.0 | 1760 | 0.0424 | 54.4994 | 18.5729 |
| 0.0655 | 5.0 | 2200 | 0.0415 | 54.4994 | 18.5938 |
| 0.0593 | 6.0 | 2640 | 0.0412 | 54.4994 | 18.5938 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.21.4