|
|
--- |
|
|
library_name: transformers |
|
|
base_model: ania3000/untrained-ossbert-e |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: demo-ossbert-e |
|
|
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. --> |
|
|
|
|
|
# demo-ossbert-e |
|
|
|
|
|
This model is a fine-tuned version of [ania3000/untrained-ossbert-e](https://huggingface.co/ania3000/untrained-ossbert-e) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 5.8912 |
|
|
|
|
|
## 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: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 5 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|
|:-------------:|:------:|:----:|:---------------:| |
|
|
| No log | 0.9950 | 200 | 6.3310 | |
|
|
| No log | 1.9900 | 400 | 6.0733 | |
|
|
| No log | 2.9851 | 600 | 5.9656 | |
|
|
| No log | 3.9801 | 800 | 5.9153 | |
|
|
| No log | 4.9751 | 1000 | 5.8912 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.57.3 |
|
|
- Pytorch 2.9.0+cu126 |
|
|
- Datasets 4.0.0 |
|
|
- Tokenizers 0.22.1 |
|
|
|
