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---
library_name: peft
tags:
- trl
- sft
- unsloth
- generated_from_trainer
datasets:
- generator
base_model: unsloth/llama-2-7b-chat-bnb-4bit
model-index:
- name: llama2-7b-chat-guanaco-llama2-1k-unsloth-w-packing-v1
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. -->
# llama2-7b-chat-guanaco-llama2-1k-unsloth-w-packing-v1
This model is a fine-tuned version of [unsloth/llama-2-7b-chat-bnb-4bit](https://huggingface.co/unsloth/llama-2-7b-chat-bnb-4bit) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2624
## 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: 6
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3985 | 1.0 | 26 | 1.3003 |
| 1.2554 | 2.0 | 52 | 1.2721 |
| 1.2094 | 3.0 | 78 | 1.2624 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.2.dev0
- Tokenizers 0.15.2 |