---
license: apache-2.0
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
base_model: tinyllama/tinyllama-1.1b-chat-v1.0
datasets:
- generator
model-index:
- name: tinyllama_instruct
  results: []
---

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

This model is a fine-tuned version of [tinyllama/tinyllama-1.1b-chat-v1.0](https://huggingface.co/tinyllama/tinyllama-1.1b-chat-v1.0) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2206

## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3509        | 1.0   | 1069 | 1.2261          |
| 1.3601        | 2.0   | 2138 | 1.2206          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1