bart-with-asr-noise-sub-0.1

gayanin/bart-with-asr-noise-sub-0.1

bart-with-asr-noise-sub-0.1 is a machine learning model from gayanin. 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 transformers. The card lists the license as apache-2.0.

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

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At a glance

Library: transformers
License: apache-2.0
Model type: bart
Access: Public
Created: Feb 21, 2024
Updated: Feb 21, 2024
SHA: e6f444ad

Base models

facebook/bart-base

Model card

From the Hugging Face model README

bart-with-asr-noise-sub-0.1

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.0552

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: 5e-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
lr_scheduler_warmup_steps: 10
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
0.1943	0.62	500	0.1056
0.0813	1.24	1000	0.0795
0.0354	1.86	1500	0.0608
0.0169	2.48	2000	0.0552

Framework versions

Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.17.1
Tokenizers 0.15.2

Library: transformers
Type: bart
License: apache-2.0
Created: Feb 21, 2024
Updated: Feb 21, 2024