---
license: mit
base_model: youngggggg/ToxiGen-ConPrompt
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: implicit-toxicgenconprompt-all-no-lora
  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. -->

# implicit-toxicgenconprompt-all-no-lora

This model is a fine-tuned version of [youngggggg/ToxiGen-ConPrompt](https://huggingface.co/youngggggg/ToxiGen-ConPrompt) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8445
- Accuracy: {'accuracy': 0.8500114495076712}

## 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: 0.001
- train_batch_size: 10
- eval_batch_size: 10
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy                         |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|
| 0.236         | 1.0   | 2217 | 0.4258          | {'accuracy': 0.8410808335241584} |
| 0.123         | 2.0   | 4434 | 0.5409          | {'accuracy': 0.8465765972063202} |
| 0.0585        | 3.0   | 6651 | 0.7576          | {'accuracy': 0.8477215479734371} |
| 0.0273        | 4.0   | 8868 | 0.8445          | {'accuracy': 0.8500114495076712} |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2