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distilbert-base-uncased_cls_sst2 – AI Model by ghatgetanuj | AlphaNeural AI
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distilbert-base-uncased_cls_sst2
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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_cls_sst2
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: 0.5999
Accuracy: 0.8933
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: 4e-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: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
433
0.2928
0.8773
0.4178
2.0
866
0.3301
0.8922
0.2046
3.0
1299
0.5088
0.8853
0.0805
4.0
1732
0.5780
0.8888
0.0159
5.0
2165
0.5999
0.8933
Framework versions
Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
