metadata

license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: ifeval_8b_8b_data
    results: []

ifeval_8b_8b_data

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.5675
Accuracy: 0.8214

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: 0.0001
train_batch_size: 8
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

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5044	0.8197	50	0.5675	0.8214

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 3.0.1
Tokenizers 0.19.1