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bart-large-mnli-finetuned – AI Model by MatheusMS | AlphaNeural AI
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MatheusMS
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bart-large-mnli-finetuned
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transformers
tensorboard
safetensors
bart
text-classification
generated_from_trainer
facebook/bart-large-mnli
finetune
mit
autotrain_compatible
endpoints_compatible
us
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bart-large-mnli-finetuned
This model is a fine-tuned version of
facebook/bart-large-mnli
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.0001
1.0
8
0.0000
0.0005
2.0
16
0.0000
0.0034
3.0
24
0.0000
0.0
4.0
32
0.0000
0.0
5.0
40
0.0000
Framework versions
Transformers 4.37.2
Pytorch 2.2.0
Datasets 2.19.1
Tokenizers 0.15.1
