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chchen/
Llama-3.1-8B-Instruct-reward-500

Name: Llama-3.1-8B-Instruct-reward-500
Availability: InStock

generated_from_trainer

meta-llama/Llama-3.1-8B-Instruct

adapter

llama3.1

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Llama-3.1-8B-Instruct-reward-500

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on the bct_non_cot_dpo_500 dataset. It achieves the following results on the evaluation set:

Loss: 1.0110
Accuracy: 0.84

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0594	3.5398	50	1.0728	0.78
0.0001	7.0796	100	0.9913	0.82

Framework versions

PEFT 0.12.0
Transformers 4.45.2
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.20.0

chchen/Llama-3.1-8B-Instruct-reward-500

Llama-3.1-8B-Instruct-reward-500

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chchen/
Llama-3.1-8B-Instruct-reward-500