---
base_model: google/gemma-2b
library_name: peft
license: gemma
tags:
- base_model:adapter:google/gemma-2b
- lora
- transformers
model-index:
- name: gemma-2b-hate-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# gemma-2b-hate-classifier

This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6773

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4912        | 1.0   | 450  | 0.5118          |
| 0.2989        | 2.0   | 900  | 0.3779          |
| 0.0192        | 3.0   | 1350 | 0.6140          |
| 0.0008        | 4.0   | 1800 | 0.6538          |
| 0.1087        | 5.0   | 2250 | 0.6773          |


### Framework versions

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