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bcoqa-mbart – AI Model by arbitropy | AlphaNeural AI
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arbitropy
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bcoqa-mbart
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transformers
safetensors
mbart
text2text-generation
generated_from_trainer
facebook/mbart-large-50
finetune
mit
endpoints_compatible
us
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bcoqa-MBART
This model is a fine-tuned version of
facebook/mbart-large-50
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0963
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: 5e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.1509
0.29
10000
0.1205
0.1307
0.58
20000
0.1060
0.121
0.86
30000
0.0963
Framework versions
Transformers 4.38.2
Pytorch 2.1.1+cu121
Datasets 2.16.1
Tokenizers 0.15.1
