tensorboard safetensors generated_from_trainer base_model:NousResearch/Llama-2-7b-hf region:us
---
base_model: NousResearch/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama2_instruct_generation
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama2_instruct_generation

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6802

## 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: 2
- 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
- training_steps: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9189        | 0.0   | 20   | 1.8213          |
| 1.8963        | 0.0   | 40   | 1.7935          |
| 1.9081        | 0.0   | 60   | 1.7748          |
| 1.8358        | 0.0   | 80   | 1.7638          |
| 1.8482        | 0.0   | 100  | 1.7539          |
| 1.8578        | 0.0   | 120  | 1.7420          |
| 1.79          | 0.0   | 140  | 1.7188          |
| 1.7997        | 0.01  | 160  | 1.7084          |
| 1.9396        | 0.01  | 180  | 1.7035          |
| 1.8644        | 0.01  | 200  | 1.6968          |
| 1.7963        | 0.01  | 220  | 1.6955          |
| 1.876         | 0.01  | 240  | 1.6945          |
| 1.9236        | 0.01  | 260  | 1.6951          |
| 1.8942        | 0.01  | 280  | 1.6911          |
| 1.6897        | 0.01  | 300  | 1.6890          |
| 1.8062        | 0.01  | 320  | 1.6892          |
| 1.709         | 0.01  | 340  | 1.6854          |
| 1.8508        | 0.01  | 360  | 1.6857          |
| 1.7915        | 0.01  | 380  | 1.6853          |
| 1.7261        | 0.01  | 400  | 1.6838          |
| 1.7328        | 0.01  | 420  | 1.6835          |
| 1.8827        | 0.02  | 440  | 1.6856          |
| 1.811         | 0.02  | 460  | 1.6798          |
| 1.8487        | 0.02  | 480  | 1.6815          |
| 1.8155        | 0.02  | 500  | 1.6802          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
