README.md

metadata

base_model: beomi/llama-2-ko-7b
tags:
  - generated_from_trainer
model-index:
  - name: >-
      llama-2-ko-7b-v1.1b-singlegpu_gradient_16_epoch_30_train_batch_size_1_df_mongodb_terminology_terms_kosha_1_1_Feb_20th_retry
    results: []

llama-2-ko-7b-v1.1b-singlegpu_gradient_16_epoch_30_train_batch_size_1_df_mongodb_terminology_terms_kosha_1_1_Feb_20th_retry

This model is a fine-tuned version of beomi/llama-2-ko-7b on an unknown 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: 2e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30.0

Training results

Framework versions

• Transformers 4.33.3
• Pytorch 2.2.0+cu121
• Datasets 2.16.0
• Tokenizers 0.13.3