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: 1.6735

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9478        | 0.0   | 20   | 1.8130          |
| 1.7991        | 0.0   | 40   | 1.7796          |
| 1.8765        | 0.0   | 60   | 1.7641          |
| 1.8495        | 0.01  | 80   | 1.7529          |
| 1.8513        | 0.01  | 100  | 1.7384          |
| 1.8856        | 0.01  | 120  | 1.7130          |
| 1.843         | 0.01  | 140  | 1.7034          |
| 1.827         | 0.01  | 160  | 1.6972          |
| 1.8133        | 0.01  | 180  | 1.6939          |
| 1.7905        | 0.01  | 200  | 1.6911          |
| 1.8626        | 0.02  | 220  | 1.6902          |
| 1.8827        | 0.02  | 240  | 1.6864          |
| 1.7727        | 0.02  | 260  | 1.6845          |
| 1.6337        | 0.02  | 280  | 1.6824          |
| 1.8401        | 0.02  | 300  | 1.6823          |
| 1.7358        | 0.02  | 320  | 1.6812          |
| 1.8195        | 0.02  | 340  | 1.6807          |
| 1.7613        | 0.03  | 360  | 1.6774          |
| 1.6521        | 0.03  | 380  | 1.6770          |
| 1.6272        | 0.03  | 400  | 1.6739          |
| 1.7949        | 0.03  | 420  | 1.6749          |
| 1.7798        | 0.03  | 440  | 1.6739          |
| 1.6372        | 0.03  | 460  | 1.6727          |
| 1.7128        | 0.03  | 480  | 1.6727          |
| 1.7321        | 0.04  | 500  | 1.6735          |


### Framework versions

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