---
base_model: mock_training_run/llama_configs/config.json
tags:
- generated_from_trainer
datasets:
- wikitext
model-index:
- name: llama-wikitext
  results: []
---

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

This model is a fine-tuned version of [mock_training_run/llama_configs/config.json](https://huggingface.co/mock_training_run/llama_configs/config.json) on the wikitext wikitext-103-v1 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 512
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1+cu117
- Datasets 2.11.0
- Tokenizers 0.14.1