opt-1.3b-finetuned-rte

elliottfitzgerald/opt-1.3b-finetuned-rte

opt-1.3b-finetuned-rte is a machine learning model from elliottfitzgerald. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as other.

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

Downloads · 30 days

38% of all-time downloads

All-time downloads

Public

Repo size

2.1 MB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.json2.9 MB · 82%

At a glance

Library: peft
License: other
Access: Public
Created: May 1, 2024
Updated: May 1, 2024
SHA: f51b3852

Base models

facebook/opt-1.3b

Model card

From the Hugging Face model README

opt-1.3b-finetuned-rte

This model is a fine-tuned version of facebook/opt-1.3b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7779
Accuracy: 0.4477

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: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.7844	0.4765
No log	2.0	2	0.7837	0.4801
No log	3.0	3	0.7822	0.4910
No log	4.0	4	0.7828	0.4838
No log	5.0	5	0.7828	0.4838
No log	6.0	6	0.7822	0.4838
No log	7.0	7	0.7820	0.4801
No log	8.0	8	0.7817	0.4838
No log	9.0	9	0.7814	0.4874
No log	10.0	10	0.7815	0.4874

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1

Library: peft
License: other
Created: May 1, 2024
Updated: May 1, 2024