---
base_model: GeneZC/MiniChat-1.5-3B
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: rogue_llm
  results: []
---

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# rogue_llm

This model is a fine-tuned version of [GeneZC/MiniChat-1.5-3B](https://huggingface.co/GeneZC/MiniChat-1.5-3B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9718

## 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: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9708        | 1.0   | 109  | 1.0519          |
| 1.0169        | 2.0   | 218  | 1.0048          |
| 0.9291        | 3.0   | 327  | 0.9689          |
| 0.8302        | 4.0   | 436  | 0.9539          |
| 0.7325        | 5.0   | 545  | 0.9718          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.3.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2