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bart_medqa_model – AI Model by smrynrz20 | AlphaNeural AI
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bart_medqa_model
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transformers
tensorboard
safetensors
bart
question-answering
generated_from_trainer
facebook/bart-base
finetune
apache-2.0
endpoints_compatible
us
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bart_medqa_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:
Loss: 0.0
F1: 1.0
Exact Match: 1.0
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: 3.7185140364032e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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
F1
Exact Match
0.0287
0.9988
410
0.0
1.0
1.0
0.0003
2.0
821
0.0000
1.0
1.0
0.0002
2.9963
1230
0.0
1.0
1.0
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
