metadata

library_name: transformers
license: other
base_model: facebook/opt-350m
tags:
  - trl
  - reward-trainer
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: reward_modeling_anthropic_hh
    results: []

reward_modeling_anthropic_hh

This model is a fine-tuned version of facebook/opt-350m on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6029
Accuracy: 0.6612

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: 1.41e-05
train_batch_size: 128
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6125	0.8696	500	0.6029	0.6612

Framework versions

Transformers 4.44.1
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1