78 lines
2.3 KiB
Markdown
78 lines
2.3 KiB
Markdown
---
|
|
library_name: transformers
|
|
tags:
|
|
- generated_from_trainer
|
|
model-index:
|
|
- name: bnc_np_13
|
|
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. -->
|
|
|
|
# bnc_np_13
|
|
|
|
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
|
It achieves the following results on the evaluation set:
|
|
- Loss: 5.5656
|
|
|
|
## 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: 0.0001
|
|
- train_batch_size: 256
|
|
- eval_batch_size: 256
|
|
- seed: 13
|
|
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
|
- lr_scheduler_type: linear
|
|
- lr_scheduler_warmup_steps: 500
|
|
- num_epochs: 20
|
|
- mixed_precision_training: Native AMP
|
|
|
|
### Training results
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
|
|:-------------:|:-----:|:----:|:---------------:|
|
|
| 7.1094 | 1.0 | 392 | 6.3174 |
|
|
| 6.0963 | 2.0 | 784 | 6.0241 |
|
|
| 5.8833 | 3.0 | 1176 | 5.8841 |
|
|
| 5.7525 | 4.0 | 1568 | 5.7884 |
|
|
| 5.6482 | 5.0 | 1960 | 5.7186 |
|
|
| 5.5583 | 6.0 | 2352 | 5.6633 |
|
|
| 5.4779 | 7.0 | 2744 | 5.6206 |
|
|
| 5.4029 | 8.0 | 3136 | 5.5869 |
|
|
| 5.3324 | 9.0 | 3528 | 5.5624 |
|
|
| 5.2657 | 10.0 | 3920 | 5.5448 |
|
|
| 5.2018 | 11.0 | 4312 | 5.5366 |
|
|
| 5.1412 | 12.0 | 4704 | 5.5319 |
|
|
| 5.0841 | 13.0 | 5096 | 5.5317 |
|
|
| 5.0297 | 14.0 | 5488 | 5.5334 |
|
|
| 4.9798 | 15.0 | 5880 | 5.5384 |
|
|
| 4.9364 | 16.0 | 6272 | 5.5474 |
|
|
| 4.899 | 17.0 | 6664 | 5.5531 |
|
|
| 4.8676 | 18.0 | 7056 | 5.5596 |
|
|
| 4.8422 | 19.0 | 7448 | 5.5622 |
|
|
| 4.823 | 20.0 | 7840 | 5.5656 |
|
|
|
|
|
|
### Framework versions
|
|
|
|
- Transformers 4.56.1
|
|
- Pytorch 2.8.0+cu128
|
|
- Datasets 4.0.0
|
|
- Tokenizers 0.22.0
|