reward_modeling_anthropic_hh_crc

qgallouedec/reward_modeling_anthropic_hh_crc

reward_modeling_anthropic_hh_crc is a machine learning model from qgallouedec. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as other.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

License: other
Model type: opt
Access: Public
Created: Aug 17, 2024
Updated: Aug 17, 2024
SHA: d6ab2667

Base models

facebook/opt-350m

Model card

From the Hugging Face model README

reward_modeling_anthropic_hh_crc

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: 0.6164
Accuracy: 0.6643

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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 2
total_train_batch_size: 256
total_eval_batch_size: 64
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
0.6282	0.8696	500	0.6164	0.6643

Framework versions

Transformers 4.44.0
Pytorch 2.4.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Type: opt
License: other
Created: Aug 17, 2024
Updated: Aug 17, 2024