---
base_model: NousResearch/Llama-2-7b-hf
library_name: peft
tags:
- generated_from_trainer
model-index:
- name: Test_sagemaker
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Test_sagemaker

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log        | 0.9874 | 54   | 0.7080          | 0.5133   | 0.5101    | 0.4731 | 0.4909 |


### Framework versions

- PEFT 0.14.0
- Transformers 4.47.0
- Pytorch 2.3.1.post300
- Datasets 3.2.0
- Tokenizers 0.21.0