---
license: mit
tags:
- generated_from_trainer
model-index:
- name: roberta-large-schizophrenia-v3
  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. -->

# roberta-large-schizophrenia-v3

This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5296

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 248  | 1.5515          |
| No log        | 2.0   | 496  | 1.5410          |
| 1.6456        | 3.0   | 744  | 1.5340          |
| 1.6456        | 4.0   | 992  | 1.5326          |
| 1.5589        | 5.0   | 1240 | 1.5248          |
| 1.5589        | 6.0   | 1488 | 1.5308          |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3