|
--- |
|
license: apache-2.0 |
|
base_model: facebook/bart-large |
|
tags: |
|
- text2text-generation |
|
- generated_from_trainer |
|
metrics: |
|
- sacrebleu |
|
model-index: |
|
- name: model_v2 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# model_v2 |
|
|
|
This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.2418 |
|
- Sacrebleu: 66.7409 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 30 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------:| |
|
| No log | 1.0 | 218 | 0.6656 | 66.6707 | |
|
| No log | 2.0 | 437 | 0.5851 | 66.5767 | |
|
| No log | 3.0 | 656 | 0.6062 | 66.4734 | |
|
| No log | 4.0 | 875 | 0.7029 | 66.5944 | |
|
| No log | 5.0 | 1093 | 0.6852 | 66.0086 | |
|
| No log | 6.0 | 1312 | 0.7471 | 66.0534 | |
|
| No log | 7.0 | 1531 | 0.8938 | 66.1986 | |
|
| No log | 8.0 | 1750 | 0.8834 | 66.4626 | |
|
| No log | 9.0 | 1968 | 0.8895 | 66.4292 | |
|
| No log | 10.0 | 2187 | 0.8824 | 66.0577 | |
|
| No log | 11.0 | 2406 | 0.8781 | 66.5076 | |
|
| No log | 12.0 | 2625 | 0.9870 | 66.5564 | |
|
| No log | 13.0 | 2843 | 1.1580 | 66.5116 | |
|
| No log | 14.0 | 3062 | 0.9797 | 66.3801 | |
|
| No log | 15.0 | 3281 | 1.0680 | 66.2748 | |
|
| No log | 16.0 | 3500 | 1.0113 | 66.5282 | |
|
| No log | 17.0 | 3718 | 1.0023 | 66.5794 | |
|
| No log | 18.0 | 3937 | 1.0753 | 66.2935 | |
|
| No log | 19.0 | 4156 | 1.0462 | 66.5036 | |
|
| No log | 20.0 | 4375 | 1.0934 | 66.7931 | |
|
| No log | 21.0 | 4593 | 1.1732 | 66.5171 | |
|
| No log | 22.0 | 4812 | 1.1892 | 66.4821 | |
|
| No log | 23.0 | 5031 | 1.2766 | 66.5913 | |
|
| No log | 24.0 | 5250 | 1.2392 | 66.5476 | |
|
| No log | 25.0 | 5468 | 1.3452 | 66.5616 | |
|
| No log | 26.0 | 5687 | 1.1427 | 66.7916 | |
|
| No log | 27.0 | 5906 | 1.1809 | 66.9823 | |
|
| No log | 28.0 | 6125 | 1.2310 | 66.7958 | |
|
| No log | 29.0 | 6343 | 1.2147 | 66.7948 | |
|
| No log | 29.9 | 6540 | 1.2418 | 66.7409 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
