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albert-base-v2-finetuned-non-code-mixed-DS – AI Model by IIIT-L | AlphaNeural AI
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IIIT-L
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albert-base-v2-finetuned-non-code-mixed-DS
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transformers
pytorch
albert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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albert-base-v2-finetuned-non-code-mixed-DS
This model is a fine-tuned version of
albert-base-v2
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8692
Accuracy: 0.6052
Precision: 0.6077
Recall: 0.5997
F1: 0.5995
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: 2.5994438868610224e-05
train_batch_size: 16
eval_batch_size: 8
seed: 43
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.895
2.0
926
0.8692
0.6052
0.6077
0.5997
0.5995
Framework versions
Transformers 4.21.3
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
