---
library_name: transformers
license: apache-2.0
base_model: bowphs/GreBerta
tags:
- generated_from_trainer
model-index:
- name: gs-greBERTa
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gs-greBERTa

This model is a fine-tuned version of [bowphs/GreBerta](https://huggingface.co/bowphs/GreBerta) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5878

## 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: 4e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.2756        | 1.0   | 5710  | 0.9367          |
| 0.9522        | 2.0   | 11420 | 0.8217          |
| 0.8493        | 3.0   | 17130 | 0.7453          |
| 0.781         | 4.0   | 22840 | 0.6875          |
| 0.7316        | 5.0   | 28550 | 0.6624          |
| 0.6985        | 6.0   | 34260 | 0.6378          |
| 0.6736        | 7.0   | 39970 | 0.6155          |
| 0.6502        | 8.0   | 45680 | 0.6063          |
| 0.6345        | 9.0   | 51390 | 0.5895          |
| 0.6232        | 10.0  | 57100 | 0.5866          |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1