metadata

license: other
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
  - trl
  - sft
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: Meta-Llama-3-8B-Instruct_fictional_arc_challenge_Japanese_v1
    results: []

Meta-Llama-3-8B-Instruct_fictional_arc_challenge_Japanese_v1

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct 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: 2
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: 36

Training results

Framework versions

Transformers 4.40.2
Pytorch 2.1.0a0+32f93b1
Datasets 2.19.1
Tokenizers 0.19.1