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---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: final_LLama_kpi_qlora
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. -->
# final_LLama_kpi_qlora
This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1214
## 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: 6e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0828 | 0.18 | 800 | nan |
| 0.1073 | 0.37 | 1600 | 0.1464 |
| 0.0774 | 0.55 | 2400 | 0.1327 |
| 0.0626 | 0.73 | 3200 | 0.1265 |
| 0.0673 | 0.92 | 4000 | 0.1214 |
### Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.0
- Datasets 2.11.0
- Tokenizers 0.14.0
|