---
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: 1.6733

## 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   | 1.8129          |
| 1.7992        | 0.0   | 40   | 1.7797          |
| 1.8765        | 0.0   | 60   | 1.7642          |
| 1.8488        | 0.01  | 80   | 1.7527          |
| 1.8512        | 0.01  | 100  | 1.7384          |
| 1.8856        | 0.01  | 120  | 1.7136          |
| 1.8429        | 0.01  | 140  | 1.7035          |
| 1.8258        | 0.01  | 160  | 1.6970          |
| 1.8125        | 0.01  | 180  | 1.6923          |
| 1.7902        | 0.01  | 200  | 1.6898          |
| 1.8622        | 0.02  | 220  | 1.6895          |
| 1.8823        | 0.02  | 240  | 1.6867          |
| 1.7728        | 0.02  | 260  | 1.6837          |
| 1.6331        | 0.02  | 280  | 1.6820          |
| 1.8399        | 0.02  | 300  | 1.6821          |
| 1.735         | 0.02  | 320  | 1.6810          |
| 1.8192        | 0.02  | 340  | 1.6804          |
| 1.7609        | 0.03  | 360  | 1.6771          |
| 1.6517        | 0.03  | 380  | 1.6768          |
| 1.6272        | 0.03  | 400  | 1.6738          |
| 1.7947        | 0.03  | 420  | 1.6751          |
| 1.7794        | 0.03  | 440  | 1.6740          |
| 1.6371        | 0.03  | 460  | 1.6726          |
| 1.7126        | 0.03  | 480  | 1.6730          |
| 1.7321        | 0.04  | 500  | 1.6733          |


### Framework versions

- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1