---
tags:
- generated_from_trainer
model-index:
- name: Llama-2-7b-chat-hf-ark
  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

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.0662

## 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: 0.0005
- 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: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.825         | 1.0   | 411  | 5.9952          |
| 5.5992        | 2.0   | 822  | 4.6529          |
| 4.6435        | 3.0   | 1233 | 4.3127          |
| 4.1195        | 4.0   | 1645 | 4.1649          |
| 3.9117        | 5.0   | 2056 | 4.0878          |
| 3.7508        | 6.0   | 2467 | 4.0662          |
| 3.5867        | 7.0   | 2878 | 4.1062          |
| 3.1731        | 8.0   | 3290 | 4.2059          |
| 2.8522        | 9.0   | 3701 | 4.3372          |
| 2.6968        | 9.99  | 4110 | 4.3987          |


### Framework versions

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