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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: tiny_llama_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. -->
# llama_2_7b_hf_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: 1.8500
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0445 | 0.01 | 20 | 2.0291 |
| 1.9813 | 0.01 | 40 | 1.9775 |
| 1.9752 | 0.02 | 60 | 1.9477 |
| 1.953 | 0.02 | 80 | 1.8977 |
| 1.9054 | 0.03 | 100 | 1.8774 |
| 1.8665 | 0.03 | 120 | 1.8699 |
| 1.845 | 0.04 | 140 | 1.8648 |
| 1.8487 | 0.04 | 160 | 1.8626 |
| 1.8557 | 0.05 | 180 | 1.8604 |
| 1.8451 | 0.06 | 200 | 1.8589 |
| 1.8557 | 0.06 | 220 | 1.8578 |
| 1.7733 | 0.07 | 240 | 1.8570 |
| 1.8652 | 0.07 | 260 | 1.8562 |
| 1.8178 | 0.08 | 280 | 1.8552 |
| 1.8102 | 0.08 | 300 | 1.8546 |
| 1.8275 | 0.09 | 320 | 1.8541 |
| 1.8405 | 0.1 | 340 | 1.8533 |
| 1.8319 | 0.1 | 360 | 1.8530 |
| 1.8411 | 0.11 | 380 | 1.8526 |
| 1.8562 | 0.11 | 400 | 1.8520 |
| 1.8505 | 0.12 | 420 | 1.8516 |
| 1.8132 | 0.12 | 440 | 1.8514 |
| 1.901 | 0.13 | 460 | 1.8509 |
| 1.8138 | 0.13 | 480 | 1.8506 |
| 1.8209 | 0.14 | 500 | 1.8500 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1 |