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---
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
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