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results – AI Model by Shadman-Rohan | AlphaNeural AI
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Shadman-Rohan
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results
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transformers
pytorch
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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Model card
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results
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0002
Accuracy: 0.8923
F1: 0.9167
Precision: 0.8462
Recall: 1.0
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
Precision
Recall
0.0026
1.0
1956
0.0003
0.9552
0.9636
0.9298
1.0
0.0015
2.0
3912
0.0003
0.6688
0.7815
0.6416
0.9996
0.0011
3.0
5868
0.0002
0.8923
0.9167
0.8462
1.0
Framework versions
Transformers 4.18.0
Pytorch 1.10.0+cu111
Datasets 2.0.0
Tokenizers 0.11.6
