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---
license: llama2
library_name: peft
tags:
- trl
- sft
- unsloth
- unsloth
- generated_from_trainer
datasets:
- generator
base_model: unsloth/llama-2-7b
model-index:
- name: llama2-7b-int4-dolly-15k-english-unsloth-w-packing-qkv-modules
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-int4-dolly-15k-english-unsloth-w-packing-qkv-modules
This model is a fine-tuned version of [unsloth/llama-2-7b](https://huggingface.co/unsloth/llama-2-7b) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2211
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2755 | 0.64 | 100 | 1.2354 |
| 1.1989 | 1.27 | 200 | 1.2249 |
| 1.1811 | 1.91 | 300 | 1.2203 |
| 1.1598 | 2.55 | 400 | 1.2211 |
### Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.0 |