opt-1.3b-finetuned-mnli-nn

elliottfitzgerald/opt-1.3b-finetuned-mnli-nn

opt-1.3b-finetuned-mnli-nn 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. --

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Hugging Face

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At a glance

Library: peft
License: other
Access: Public
Created: May 1, 2024
Updated: May 1, 2024
SHA: 1c06b438

Base models

facebook/opt-1.3b

Model card

From the Hugging Face model README

opt-1.3b-finetuned-mnli-nn

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: 0.8505
Accuracy: 0.5201

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	0.8826	0.5192
No log	2.0	2	0.8740	0.5195
No log	3.0	3	0.8665	0.5198
No log	4.0	4	0.8601	0.5210
No log	5.0	5	0.8548	0.5207
No log	6.0	6	0.8505	0.5214
No log	7.0	7	0.8470	0.5216
No log	8.0	8	0.8447	0.5214
No log	9.0	9	0.8431	0.5213
No log	10.0	10	0.8423	0.5211

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