---
license: apache-2.0
library_name: peft
tags:
- trl-sft
- generated_from_trainer
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
model-index:
- name: tinyllama_lora_adcopy
  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. -->

# tinyllama_lora_adcopy

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8992

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9386        | 1.0   | 129  | 0.8662          |
| 0.7821        | 2.0   | 258  | 0.7954          |
| 0.5269        | 3.0   | 387  | 0.7621          |
| 0.4121        | 4.0   | 516  | 0.7183          |
| 0.2169        | 5.0   | 645  | 0.7358          |
| 0.1206        | 6.0   | 774  | 0.7757          |
| 0.057         | 7.0   | 903  | 0.8003          |
| 0.0291        | 8.0   | 1032 | 0.8342          |
| 0.0097        | 9.0   | 1161 | 0.8800          |
| 0.0077        | 10.0  | 1290 | 0.8992          |


### Framework versions

- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0