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---
library_name: peft
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
base_model: NousResearch/Llama-2-7b-hf
model-index:
- name: llama2_instruct_generation
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. -->
# 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 the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6730
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.8384 | 0.0 | 20 | 1.8088 |
| 1.8698 | 0.01 | 40 | 1.7806 |
| 1.9017 | 0.01 | 60 | 1.7659 |
| 1.8842 | 0.01 | 80 | 1.7552 |
| 1.8097 | 0.01 | 100 | 1.7439 |
| 1.843 | 0.02 | 120 | 1.7153 |
| 1.793 | 0.02 | 140 | 1.7046 |
| 1.8985 | 0.02 | 160 | 1.7015 |
| 1.8716 | 0.02 | 180 | 1.6976 |
| 1.8351 | 0.03 | 200 | 1.6949 |
| 1.8368 | 0.03 | 220 | 1.6933 |
| 1.8696 | 0.03 | 240 | 1.6879 |
| 1.8218 | 0.04 | 260 | 1.6866 |
| 1.6993 | 0.04 | 280 | 1.6847 |
| 1.8128 | 0.04 | 300 | 1.6832 |
| 1.875 | 0.04 | 320 | 1.6820 |
| 1.8388 | 0.05 | 340 | 1.6799 |
| 1.7753 | 0.05 | 360 | 1.6791 |
| 1.7578 | 0.05 | 380 | 1.6793 |
| 1.8476 | 0.05 | 400 | 1.6770 |
| 1.8183 | 0.06 | 420 | 1.6766 |
| 1.6523 | 0.06 | 440 | 1.6760 |
| 1.8046 | 0.06 | 460 | 1.6756 |
| 1.8347 | 0.07 | 480 | 1.6745 |
| 1.7741 | 0.07 | 500 | 1.6730 |
### Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |