GPT2_Melody_Generation – AI Model by badd9yang | AlphaNeural AI

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badd9yang/
GPT2_Melody_Generation

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text-generation

generated_from_trainer

openai-community/gpt2

autotrain_compatible

text-generation-inference

endpoints_compatible

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GPT2_Melody_Generation

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3371

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: 0.0005
train_batch_size: 8
eval_batch_size: 4
seed: 1
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.01
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
3.7492	0.1	1000	2.8906
2.6238	0.2	2000	2.2064
2.1078	0.3	3000	1.8105
1.8152	0.4	4000	1.6067
1.6536	0.5	5000	1.4950
1.5477	0.6	6000	1.4357
1.4832	0.7	7000	1.3807
1.4452	0.8	8000	1.3487
1.4172	0.9	9000	1.3371

Framework versions

Transformers 4.32.1
Pytorch 1.11.0+cu113
Datasets 2.12.0
Tokenizers 0.13.2