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

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

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: 1.1600
- Accuracy: 0.8517
- F1: 0.9113

## 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
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| No log        | 1.0   | 469  | 0.3551          | 0.86     | 0.9188 |
| 0.3676        | 2.0   | 938  | 0.4666          | 0.8617   | 0.9198 |
| 0.3042        | 3.0   | 1407 | 0.5818          | 0.86     | 0.9170 |
| 0.2651        | 4.0   | 1876 | 0.8291          | 0.865    | 0.9200 |
| 0.174         | 5.0   | 2345 | 0.8843          | 0.8567   | 0.9155 |
| 0.1363        | 6.0   | 2814 | 1.1669          | 0.8317   | 0.8968 |
| 0.075         | 7.0   | 3283 | 1.2803          | 0.8283   | 0.8952 |
| 0.0401        | 8.0   | 3752 | 1.0247          | 0.8617   | 0.9184 |
| 0.0301        | 9.0   | 4221 | 1.2848          | 0.83     | 0.8961 |
| 0.0281        | 10.0  | 4690 | 1.1600          | 0.8517   | 0.9113 |


### Framework versions

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