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bart-finetuned-kwsylchunk-64-8line – AI Model by adamjweintraut | AlphaNeural AI
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bart-finetuned-kwsylchunk-64-8line
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transformers
safetensors
bart
text2text-generation
generated_from_trainer
facebook/bart-large
finetune
apache-2.0
endpoints_compatible
us
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bart-finetuned-kwsylchunk-64-8line
This model is a fine-tuned version of
facebook/bart-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.3752
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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
2.1919
1.13
500
1.4809
1.4962
2.25
1000
1.3752
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2
