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distilbert-base-uncased-finetuned-mic – AI Model by agi-css | AlphaNeural AI
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distilbert-base-uncased-finetuned-mic
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-mic
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: 0.5640
Accuracy: 0.7809
F1: 0.8769
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: 2.740146306575944e-05
train_batch_size: 400
eval_batch_size: 400
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
18
0.7080
0.7232
0.8394
No log
2.0
36
0.4768
0.8443
0.9156
No log
3.0
54
0.5714
0.7866
0.8806
No log
4.0
72
0.7035
0.7151
0.8339
No log
5.0
90
0.5640
0.7809
0.8769
Framework versions
Transformers 4.18.0.dev0
Pytorch 1.10.1
Datasets 2.0.0
Tokenizers 0.11.0
