MIDI_transformer_tiny-test – AI Model by sunsetsobserver | AlphaNeural AI

You can deploy this model and start earning money today!

sunsetsobserver/
MIDI_transformer_tiny-test

like

0

text-generation

generated_from_trainer

autotrain_compatible

text-generation-inference

endpoints_compatible

Views

No views yet

runs

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

Loss: 3.1137
Accuracy: 0.0000

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: 0.0001
train_batch_size: 16
eval_batch_size: 48
seed: 444
gradient_accumulation_steps: 3
total_train_batch_size: 48
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.3
training_steps: 100
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.03	10	4.7890	0.1380
4.9326	0.05	20	4.4600	0.1310
4.9326	0.08	30	4.1364	0.0172
4.1299	0.11	40	3.7156	0.0010
4.1299	0.13	50	3.3965	0.0002
3.4428	0.16	60	3.2530	0.0002
3.4428	0.19	70	3.1727	0.0000
3.1873	0.21	80	3.1316	0.0000
3.1873	0.24	90	3.1165	0.0000
3.1176	0.26	100	3.1137	0.0000

Framework versions

Transformers 4.37.2
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1