---
library_name: transformers
base_model: ania3000/untrained-ossbert-e
tags:
- generated_from_trainer
model-index:
- name: demo-ossbert-e
  results: []
---

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# 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