---
base_model: facebook/opt-350m
library_name: peft
license: other
tags:
- base_model:adapter:facebook/opt-350m
- lora
- transformers
model-index:
- name: opt-350m-hate-classifier
  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. -->

# opt-350m-hate-classifier

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6381

## 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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6757        | 1.0   | 450  | 0.4493          |
| 0.4331        | 2.0   | 900  | 0.4464          |
| 0.0726        | 3.0   | 1350 | 0.6210          |
| 0.0006        | 4.0   | 1800 | 0.6127          |
| 0.3316        | 5.0   | 2250 | 0.6381          |


### Framework versions

- PEFT 0.17.1
- Transformers 4.46.3
- Pytorch 2.8.0+cu128
- Datasets 2.17.0
- Tokenizers 0.20.0