---
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: TheBloke/Llama-2-7B-Chat-GPTQ
model-index:
- name: agrobot-llama2-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. -->

# agrobot-llama2-ft

This model is a fine-tuned version of [TheBloke/Llama-2-7B-Chat-GPTQ](https://huggingface.co/TheBloke/Llama-2-7B-Chat-GPTQ) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 6139.9749     | 0.99  | 102  | nan             |
| 906.7905      | 2.0   | 205  | nan             |
| 7469.7591     | 3.0   | 308  | nan             |
| 4521.9417     | 4.0   | 411  | nan             |
| 10357.8309    | 4.99  | 513  | nan             |
| 2193.7805     | 6.0   | 616  | nan             |
| 415.3014      | 7.0   | 719  | nan             |
| 5163.8981     | 8.0   | 822  | nan             |
| 10537.2745    | 8.99  | 924  | nan             |
| 1091.5675     | 9.93  | 1020 | nan             |


### Framework versions

- PEFT 0.11.1
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2