results

QuanHcmus/results

results is a machine learning model from QuanHcmus. 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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Hugging Face

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At a glance

Library: transformers
License: apache-2.0
Model type: blenderbot
Access: Public
Created: Jun 12, 2024
Updated: Jun 12, 2024
SHA: 8c7e6fe1

Base models

facebook/blenderbot-400M-distill

Datasets

marsyas/gtzan

Model card

From the Hugging Face model README

facebook/blenderbot-400M-distill-finetuned

This model is a fine-tuned version of facebook/blenderbot-400M-distill on the GTZAN dataset. It achieves the following results on the evaluation set:

Loss: 0.1755

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
0.1876	1.0	838	0.1622
0.149	2.0	1676	0.1604
0.1226	3.0	2514	0.1657
0.1066	4.0	3352	0.1708
0.0944	5.0	4190	0.1755

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1

Library: transformers
Type: blenderbot
License: apache-2.0
Created: Jun 12, 2024
Updated: Jun 12, 2024