metadata
license: apache-2.0
base_model: facebook/bart-large
tags:
- text2text-generation
- generated_from_trainer
metrics:
- sacrebleu
model-index:
- name: model_v6
results: []
model_v6
This model is a fine-tuned version of facebook/bart-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5649
- Sacrebleu: 66.4771
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: 1e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu |
|---|---|---|---|---|
| 0.5945 | 1.0 | 875 | 0.6579 | 63.2549 |
| 0.3681 | 2.0 | 1750 | 0.5965 | 65.0373 |
| 0.3426 | 3.0 | 2625 | 0.5690 | 65.4761 |
| 0.3215 | 4.0 | 3500 | 0.5700 | 65.8510 |
| 0.3084 | 5.0 | 4375 | 0.5637 | 66.2262 |
| 0.3051 | 6.0 | 5250 | 0.5657 | 66.4077 |
| 0.2908 | 7.0 | 6125 | 0.5682 | 66.4705 |
| 0.2868 | 8.0 | 7000 | 0.5661 | 66.4620 |
| 0.2795 | 9.0 | 7875 | 0.5761 | 66.5109 |
| 0.2832 | 10.0 | 8750 | 0.5649 | 66.4771 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2