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lyrics_model – AI Model by nave1616 | AlphaNeural AI

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nave1616/
lyrics_model

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text2text-generation

generated_from_trainer

facebook/bart-base

endpoints_compatible

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lyrics_model

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

eval_loss: 6.9717
eval_runtime: 17.5281
eval_samples_per_second: 28.526
eval_steps_per_second: 3.594
epoch: 0.0512
step: 8

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
lr_scheduler_warmup_steps: 333
num_epochs: 6

Framework versions

Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0