---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-13B-chat-GPTQ
model-index:
- name: adyogigpt-ft
  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. -->

# adyogigpt-ft

This model is a fine-tuned version of [TheBloke/Llama-2-13B-chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-13B-chat-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6650

## 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: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.2052        | 0.8   | 2    | 3.3403          |
| 2.7583        | 2.0   | 5    | 3.2177          |
| 3.988         | 2.8   | 7    | 3.1077          |
| 2.548         | 4.0   | 10   | 2.9435          |
| 3.6494        | 4.8   | 12   | 2.8515          |
| 2.3538        | 6.0   | 15   | 2.7460          |
| 3.4301        | 6.8   | 17   | 2.6985          |
| 2.251         | 8.0   | 20   | 2.6650          |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1