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music_CLM – AI Model by bernhardtandy | AlphaNeural AI
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bernhardtandy
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music_CLM
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transformers
pytorch
tensorboard
gpt2
text-generation
generated_from_trainer
mit
autotrain_compatible
text-generation-inference
endpoints_compatible
us
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music_CLM
This model is a fine-tuned version of
bernhardtandy/music_CLM
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.5316
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: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 1000
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2
