---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Llama-2-7b-hf-IDMGSP
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-2-7b-hf-IDMGSP

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1450
- Accuracy: {'accuracy': 0.9759036144578314}
- F1: {'f1': 0.9758125472411187}

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy                         | F1                         |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|:--------------------------:|
| 0.0766        | 1.0   | 498  | 0.1165          | {'accuracy': 0.9614708835341366} | {'f1': 0.9612813721780804} |
| 0.182         | 2.0   | 996  | 0.0934          | {'accuracy': 0.9657379518072289} | {'f1': 0.9648059816939539} |
| 0.037         | 3.0   | 1494 | 0.1190          | {'accuracy': 0.9716365461847389} | {'f1': 0.9710182097973841} |
| 0.0349        | 4.0   | 1992 | 0.1884          | {'accuracy': 0.96875}            | {'f1': 0.9692326702088224} |
| 0.0046        | 5.0   | 2490 | 0.1450          | {'accuracy': 0.9759036144578314} | {'f1': 0.9758125472411187} |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1