|
--- |
|
license: apache-2.0 |
|
base_model: facebook/bart-large |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: bart_left_fulltext_torch |
|
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. --> |
|
|
|
# bart_left_fulltext_torch |
|
|
|
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: 1.9329 |
|
|
|
## 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: 2e-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: 20 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 8 | 9.2222 | |
|
| No log | 2.0 | 16 | 8.1910 | |
|
| No log | 3.0 | 24 | 7.8851 | |
|
| No log | 4.0 | 32 | 7.5382 | |
|
| No log | 5.0 | 40 | 7.2200 | |
|
| No log | 6.0 | 48 | 6.7294 | |
|
| No log | 7.0 | 56 | 6.1038 | |
|
| No log | 8.0 | 64 | 5.5721 | |
|
| No log | 9.0 | 72 | 5.1404 | |
|
| No log | 10.0 | 80 | 4.4875 | |
|
| No log | 11.0 | 88 | 3.8785 | |
|
| No log | 12.0 | 96 | 3.3749 | |
|
| No log | 13.0 | 104 | 2.9965 | |
|
| No log | 14.0 | 112 | 2.6608 | |
|
| No log | 15.0 | 120 | 2.3879 | |
|
| No log | 16.0 | 128 | 2.2349 | |
|
| No log | 17.0 | 136 | 2.0993 | |
|
| No log | 18.0 | 144 | 2.0023 | |
|
| No log | 19.0 | 152 | 1.9480 | |
|
| No log | 20.0 | 160 | 1.9329 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.31.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.1 |
|
- Tokenizers 0.13.3 |
|
|