deberta-v3-large-reward-model

JustDoItNow/deberta-v3-large-reward-model

deberta-v3-large-reward-model is a machine learning model from JustDoItNow. 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 mit.

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

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At a glance

License: mit
Model type: deberta-v2
Access: Public
Created: Aug 18, 2024
Updated: Aug 22, 2024
SHA: dc4d1941

Base models

microsoft/deberta-v3-large

Model card

From the Hugging Face model README

deberta-v3-large-reward-model

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0084
Accuracy: 0.9975

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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0336	2.0	100	0.0315	0.9975
0.0043	4.0	200	0.0105	0.9925
0.0006	6.0	300	0.0079	0.9975
0.0001	8.0	400	0.0086	0.9975
0.0002	10.0	500	0.0084	0.9975

Framework versions

Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1

Type: deberta-v2
License: mit
Created: Aug 18, 2024
Updated: Aug 22, 2024