---
base_model: abhishek/llama-2-7b-hf-small-shards
tags:
- generated_from_trainer
model-index:
- name: Llama2_PA_FRA-UAS-FAQ-v2
  results: []
---

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# Llama2_PA_FRA-UAS-FAQ-v2

This model is a fine-tuned version of [abhishek/llama-2-7b-hf-small-shards](https://huggingface.co/abhishek/llama-2-7b-hf-small-shards) 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 93

### Training results



### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3