---
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: roberta-large-first
  results: []
---

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

This model is a fine-tuned version of [rafalposwiata/deproberta-large-depression](https://huggingface.co/rafalposwiata/deproberta-large-depression) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2025
- Accuracy: 0.8483
- F1: 0.9100

## 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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 469  | 0.3694          | 0.8783   | 0.9312 |
| 0.3984        | 2.0   | 938  | 0.4488          | 0.87     | 0.9257 |
| 0.3366        | 3.0   | 1407 | 0.5764          | 0.855    | 0.9141 |
| 0.295         | 4.0   | 1876 | 0.7716          | 0.8533   | 0.9132 |
| 0.1876        | 5.0   | 2345 | 0.8724          | 0.855    | 0.9148 |
| 0.1378        | 6.0   | 2814 | 1.1717          | 0.825    | 0.8921 |
| 0.0836        | 7.0   | 3283 | 1.0711          | 0.8367   | 0.9028 |
| 0.043         | 8.0   | 3752 | 1.0807          | 0.8633   | 0.9202 |
| 0.0402        | 9.0   | 4221 | 1.2285          | 0.8367   | 0.9024 |
| 0.035         | 10.0  | 4690 | 1.2025          | 0.8483   | 0.9100 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3