metadata

base_model: Qwen/Qwen2.5-1.5B
library_name: peft
license: apache-2.0
metrics:
  - accuracy
tags:
  - generated_from_trainer
model-index:
  - name: qwen2.5-hh-rm
    results: []

qwen2.5-hh-rm

This model is a fine-tuned version of Qwen/Qwen2.5-1.5B on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7776
Accuracy: 0.5500

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-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 8
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6501	1.0	5310	0.7776	0.5500

Framework versions

PEFT 0.12.0
Transformers 4.37.0
Pytorch 2.1.2+cu121
Datasets 2.14.5
Tokenizers 0.15.2