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okai-musiclang-content-t5-stable – AI Model by sandernotenbaert | AlphaNeural AI
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sandernotenbaert
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okai-musiclang-content-t5-stable
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transformers
safetensors
t5
text2text-generation
generated_from_trainer
sandernotenbaert/okai-musiclang-content-t5-stable
finetune
text-generation-inference
endpoints_compatible
us
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okai-musiclang-content-t5-stable
This model is a fine-tuned version of
sandernotenbaert/okai-musiclang-content-t5-stable
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.1688
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: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 200
num_epochs: 8
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.4966
1.6556
500
2.3381
2.3699
3.3113
1000
2.2373
2.3337
4.9669
1500
2.1878
2.3111
6.6225
2000
2.1688
Framework versions
Transformers 4.54.1
Pytorch 2.6.0+cu124
Datasets 4.0.0
Tokenizers 0.21.4
