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bart-finetuned-kwsylgen-64 – AI Model by adamjweintraut | AlphaNeural AI
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adamjweintraut
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bart-finetuned-kwsylgen-64
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transformers
tensorboard
safetensors
bart
text2text-generation
generated_from_trainer
adamjweintraut/bart-finetuned-lyrlen-64-lines
finetune
apache-2.0
endpoints_compatible
us
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bart-finetuned-kwsylgen-64
This model is a fine-tuned version of
adamjweintraut/bart-finetuned-lyrlen-64-lines
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5197
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: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.4209
0.89
500
0.5002
0.3361
1.77
1000
0.5197
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
