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bart_medical_quad_model – AI Model by smrynrz20 | AlphaNeural AI
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bart_medical_quad_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_medical_quad_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: 0.0000
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: 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
training_steps: 820
Training results
Training Loss
Epoch
Step
Validation Loss
0.0
0.1220
100
0.0000
0.0004
0.2439
200
0.0000
0.0
0.3659
300
0.0000
0.0004
0.4878
400
0.0000
0.0002
1.1091
500
0.0000
0.0
1.2311
600
0.0000
0.0001
1.3530
700
0.0000
0.0001
1.475
800
0.0000
Framework versions
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
