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albert-base-v2_mnli_bc – AI Model by mujeensung | AlphaNeural AI
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mujeensung
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albert-base-v2_mnli_bc
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transformers
pytorch
albert
text-classification
generated_from_trainer
en
glue
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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albert-base-v2_mnli_bc
This model is a fine-tuned version of
albert-base-v2
on the GLUE MNLI dataset. It achieves the following results on the evaluation set:
Loss: 0.2952
Accuracy: 0.9399
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2159
1.0
16363
0.2268
0.9248
0.1817
2.0
32726
0.2335
0.9347
0.0863
3.0
49089
0.3014
0.9401
Framework versions
Transformers 4.13.0
Pytorch 1.10.1+cu111
Datasets 1.17.0
Tokenizers 0.10.3
