---
base_model: keylazy/Llama-2-7b-chat-hf-ark
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-chat-hf-ark-ft-2
  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-chat-hf-ark-ft-2

This model is a fine-tuned version of [keylazy/Llama-2-7b-chat-hf-ark](https://huggingface.co/keylazy/Llama-2-7b-chat-hf-ark) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1582
- eval_accuracy: 0.9587
- eval_precision: 0.9587
- eval_recall: 0.9587
- eval_f1: 0.9587
- eval_runtime: 270.3757
- eval_samples_per_second: 739.711
- eval_steps_per_second: 46.232
- epoch: 1.92
- step: 27053

## 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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1