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results

This model is a fine-tuned version of NousResearch/llama-2-7b-chat-hf on the None dataset.

Model description

More information needed

Intended uses & limitations

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Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0002
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: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Framework versions

Transformers 4.31.0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.13.3

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Evaluation results

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