68 lines
1.8 KiB
Markdown
68 lines
1.8 KiB
Markdown
|
---
|
||
|
|
library_name: transformers
|
||
|
|
tags:
|
||
|
|
- generated_from_trainer
|
||
|
|
model-index:
|
||
|
|
- name: por1-large
|
||
|
|
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. -->
|
||
|
|
|
||
|
|
# por1-large
|
||
|
|
|
||
|
|
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: 3.8243
|
||
|
|
|
||
|
|
## 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: 16
|
||
|
|
- eval_batch_size: 8
|
||
|
|
- seed: 42
|
||
|
|
- gradient_accumulation_steps: 4
|
||
|
|
- total_train_batch_size: 64
|
||
|
|
- optimizer: Use 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: 10
|
||
|
|
|
||
|
|
### Training results
|
||
|
|
|
||
|
|
| Training Loss | Epoch | Step | Validation Loss |
|
||
|
|
|:-------------:|:-----:|:----:|:---------------:|
|
||
|
|
| 5.2377 | 1.0 | 199 | 4.7570 |
|
||
|
|
| 4.5775 | 2.0 | 398 | 4.4276 |
|
||
|
|
| 4.4104 | 3.0 | 597 | 4.2903 |
|
||
|
|
| 4.3513 | 4.0 | 796 | 4.1978 |
|
||
|
|
| 4.1994 | 5.0 | 995 | 4.1112 |
|
||
|
|
| 4.1218 | 6.0 | 1194 | 4.0284 |
|
||
|
|
| 4.0366 | 7.0 | 1393 | 3.9422 |
|
||
|
|
| 3.938 | 8.0 | 1592 | 3.8810 |
|
||
|
|
| 3.9293 | 9.0 | 1791 | 3.8417 |
|
||
|
|
| 3.8732 | 10.0 | 1990 | 3.8243 |
|
||
|
|
|
||
|
|
|
||
|
|
### Framework versions
|
||
|
|
|
||
|
|
- Transformers 4.53.0
|
||
|
|
- Pytorch 2.4.1+cu121
|
||
|
|
- Datasets 2.14.7
|
||
|
|
- Tokenizers 0.21.0
|