T5_lyrics-model

anushkat/T5_lyrics-model

T5_lyrics-model is a machine learning model from anushkat. 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 apache-2.0.

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

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Repo size

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Hugging Face

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.safetensors4.7 MB · 66%

At a glance

Library: peft
License: apache-2.0
Access: Public
Created: Apr 29, 2024
Updated: Apr 30, 2024
SHA: 7cffdcb5

Base models

google-t5/t5-small

Model card

From the Hugging Face model README

T5_lyrics-model

This model is a fine-tuned version of google-t5/t5-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1808

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: 0.0002
train_batch_size: 2
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 250

Training results

Training Loss	Epoch	Step	Validation Loss
6.3144	0.01	25	1.5334
1.2668	0.02	50	0.6688
1.021	0.03	75	0.3675
0.5247	0.03	100	0.3007
0.6415	0.04	125	0.2400
0.3774	0.05	150	0.2170
0.5336	0.06	175	0.1966
0.3201	0.07	200	0.1882
0.5068	0.08	225	0.1824
0.3218	0.08	250	0.1808

Framework versions

PEFT 0.8.2
Transformers 4.38.1
Pytorch 1.13.1
Datasets 2.17.0
Tokenizers 0.15.2

Library: peft
License: apache-2.0
Created: Apr 29, 2024
Updated: Apr 30, 2024