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albert-xxlarge-v2-finetuned-csqa-ih – AI Model by danlou | AlphaNeural AI
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danlou
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albert-xxlarge-v2-finetuned-csqa-ih
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transformers
pytorch
albert
multiple-choice
generated_from_trainer
apache-2.0
endpoints_compatible
us
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albert-xxlarge-v2-finetuned-csqa-ih
This model is a fine-tuned version of
albert-xxlarge-v2
on an unkown dataset. It achieves the following results on the evaluation set:
Loss: 1.5694
Accuracy: 0.8026
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8032
1.0
532
0.5217
0.8043
0.3182
2.0
1064
0.6313
0.7985
0.0668
3.0
1596
1.2971
0.7969
0.0131
4.0
2128
1.4671
0.8026
0.0046
5.0
2660
1.5694
0.8026
Framework versions
Transformers 4.8.2
Pytorch 1.9.0
Datasets 1.10.2
Tokenizers 0.10.3
