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: 1.6696

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.9496        | 0.0   | 10   | 1.8436          |
| 1.9477        | 0.0   | 20   | 1.8131          |
| 1.9025        | 0.0   | 30   | 1.7940          |
| 1.7997        | 0.0   | 40   | 1.7798          |
| 1.858         | 0.0   | 50   | 1.7719          |
| 1.8767        | 0.0   | 60   | 1.7646          |
| 1.8571        | 0.0   | 70   | 1.7585          |
| 1.8494        | 0.01  | 80   | 1.7535          |
| 1.9404        | 0.01  | 90   | 1.7476          |
| 1.852         | 0.01  | 100  | 1.7396          |
| 1.8713        | 0.01  | 110  | 1.7218          |
| 1.8863        | 0.01  | 120  | 1.7153          |
| 1.9036        | 0.01  | 130  | 1.7068          |
| 1.8432        | 0.01  | 140  | 1.7040          |
| 1.8168        | 0.01  | 150  | 1.7000          |
| 1.8272        | 0.01  | 160  | 1.6978          |
| 1.807         | 0.01  | 170  | 1.6952          |
| 1.8131        | 0.01  | 180  | 1.6938          |
| 1.8317        | 0.01  | 190  | 1.6904          |
| 1.79          | 0.01  | 200  | 1.6901          |
| 1.6645        | 0.01  | 210  | 1.6885          |
| 1.8626        | 0.02  | 220  | 1.6901          |
| 1.8129        | 0.02  | 230  | 1.6864          |
| 1.8821        | 0.02  | 240  | 1.6862          |
| 1.8552        | 0.02  | 250  | 1.6843          |
| 1.8641        | 0.02  | 260  | 1.6840          |
| 1.7304        | 0.02  | 270  | 1.6834          |
| 1.7279        | 0.02  | 280  | 1.6825          |
| 1.8039        | 0.02  | 290  | 1.6829          |
| 1.7132        | 0.02  | 300  | 1.6815          |
| 1.8142        | 0.02  | 310  | 1.6807          |
| 1.7918        | 0.02  | 320  | 1.6799          |
| 1.8154        | 0.02  | 330  | 1.6781          |
| 1.6644        | 0.02  | 340  | 1.6789          |
| 1.7383        | 0.02  | 350  | 1.6779          |
| 1.8327        | 0.03  | 360  | 1.6767          |
| 1.7003        | 0.03  | 370  | 1.6769          |
| 1.7698        | 0.03  | 380  | 1.6758          |
| 1.7725        | 0.03  | 390  | 1.6753          |
| 1.6452        | 0.03  | 400  | 1.6754          |
| 1.7474        | 0.03  | 410  | 1.6760          |
| 1.7243        | 0.03  | 420  | 1.6760          |
| 1.7344        | 0.03  | 430  | 1.6755          |
| 1.6396        | 0.03  | 440  | 1.6744          |
| 1.7835        | 0.03  | 450  | 1.6739          |
| 1.7635        | 0.03  | 460  | 1.6735          |
| 1.7007        | 0.03  | 470  | 1.6727          |
| 1.801         | 0.03  | 480  | 1.6722          |
| 1.7607        | 0.03  | 490  | 1.6710          |
| 1.7926        | 0.04  | 500  | 1.6696          |


### Framework versions

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