
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# test_2_pretrain

This model is a fine-tuned version of [](https://huggingface.co/) on the wikitext wikitext-2-v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1341
- Accuracy: 0.2759

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.37.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "datasets": ["wikitext"], "metrics": ["accuracy"], "model-index": [{"name": "test_2_pretrain", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "wikitext wikitext-2-v1", "type": "wikitext", "args": "wikitext-2-v1"}, "metrics": [{"type": "accuracy", "value": 0.2759307022812658, "name": "Accuracy"}]}]}]}
transformers tensorboard safetensors opt text-generation generated_from_trainer dataset:wikitext model-index autotrain_compatible endpoints_compatible text-generation-inference region:us