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bart-large-bn-adapter-3.17M-snli-model3 – AI Model by varun-v-rao | AlphaNeural AI
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varun-v-rao
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bart-large-bn-adapter-3.17M-snli-model3
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tensorboard
generated_from_trainer
stanfordnlp/snli
facebook/bart-large
finetune
apache-2.0
model-index
us
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bart-large-bn-adapter-3.17M-snli-model3
This model is a fine-tuned version of
facebook/bart-large
on the snli dataset. It achieves the following results on the evaluation set:
Loss: 0.2384
Accuracy: 0.9171
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: 32
eval_batch_size: 32
seed: 5
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3391
1.0
17168
0.2519
0.9111
0.3134
2.0
34336
0.2398
0.9162
0.3057
3.0
51504
0.2384
0.9171
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0
