emoBank_LaBSE_test1

dgalik/emoBank_LaBSE_test1

emoBank_LaBSE_test1 is a machine learning model from dgalik. 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.

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

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At a glance

Library: transformers
Model type: bert
Access: Public
Created: Sep 5, 2023
Updated: Sep 7, 2023
SHA: f2de1f2e

Model card

From the Hugging Face model README

emoBank_LaBSE_test1

This model is a fine-tuned version of old_models/LaBSE/0_Transformer on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0464
Mse V: 0.0518
Mse A: 0.0486
Mse D: 0.0387

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: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Mse V	Mse A	Mse D
No log	1.0	252	0.0639	0.0783	0.0770	0.0364
0.1799	2.0	504	0.0502	0.0610	0.0545	0.0350
0.1799	3.0	756	0.0495	0.0497	0.0465	0.0524
0.0606	4.0	1008	0.0504	0.0655	0.0449	0.0409
0.0606	5.0	1260	0.0495	0.0649	0.0467	0.0369
0.0473	6.0	1512	0.0461	0.0520	0.0470	0.0394
0.0473	7.0	1764	0.0473	0.0517	0.0508	0.0395
0.041	8.0	2016	0.0464	0.0518	0.0486	0.0387

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Library: transformers
Type: bert
Created: Sep 5, 2023
Updated: Sep 7, 2023