---
library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: students_scores_model
  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. -->

# students_scores_model

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9662
- F1: 0.6266

## 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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 282  | 1.0224          | 0.5288 |
| 1.0295        | 2.0   | 564  | 1.0153          | 0.5571 |
| 1.0295        | 3.0   | 846  | 0.8929          | 0.6222 |
| 0.8387        | 4.0   | 1128 | 0.8547          | 0.6331 |
| 0.8387        | 5.0   | 1410 | 0.8895          | 0.6200 |
| 0.7514        | 6.0   | 1692 | 0.8920          | 0.6184 |
| 0.7514        | 7.0   | 1974 | 0.9353          | 0.6229 |
| 0.6815        | 8.0   | 2256 | 0.9303          | 0.6287 |
| 0.6083        | 9.0   | 2538 | 0.9879          | 0.6186 |
| 0.6083        | 10.0  | 2820 | 0.9662          | 0.6266 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.21.0