---
base_model: TinyLlama/TinyLlama_v1.1
datasets:
- generator
library_name: peft
license: apache-2.0
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: train_output_dir
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# train_output_dir

This model is a fine-tuned version of [TinyLlama/TinyLlama_v1.1](https://huggingface.co./TinyLlama/TinyLlama_v1.1) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5212

## 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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- training_steps: 100

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.9653        | 0.1575 | 20   | 1.9348          |
| 1.853         | 0.3150 | 40   | 1.7662          |
| 1.6943        | 0.4724 | 60   | 1.6475          |
| 1.6361        | 0.6299 | 80   | 1.5510          |
| 1.6067        | 0.7874 | 100  | 1.5212          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1