llamaicd10v2 / README.md
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metadata
library_name: peft
tags:
  - trl
  - sft
  - generated_from_trainer
base_model: meta-llama/Llama-2-70b-chat-hf
datasets:
  - generator
model-index:
  - name: llamaicd10v2
    results: []

llamaicd10v2

This model is a fine-tuned version of meta-llama/Llama-2-70b-chat-hf on the generator 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: 5e-05
  • train_batch_size: 1
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_ratio: 0.03
  • num_epochs: 6

Training results

Framework versions

  • PEFT 0.7.2.dev0
  • Transformers 4.36.2
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.2