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Llama2-MGT-Test1

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Llama2-MGT-Test1 / README.md
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metadata
license: llama2
library_name: peft
tags:
  - generated_from_trainer
base_model: meta-llama/Llama-2-7b-hf
model-index:
  - name: Llama2-MGT-Test
    results: []

Llama2-MGT-Test

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4493

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: 0.0002
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.03
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.4875 1.0 600 1.4493

Framework versions

  • PEFT 0.11.1
  • Transformers 4.30.0
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.13.3