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distilbert-finetuned – AI Model by Kai1014 | AlphaNeural AI
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Kai1014
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distilbert-finetuned
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
stanfordnlp/sst2
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-finetuned
This model is a fine-tuned version of
distilbert-base-uncased
on the
sst2 dataset
. It achieves the following results on the evaluation set:
Loss: 0.4770
Accuracy: 0.9014
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: 8
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.227
1.0
8419
0.4213
0.8819
0.1453
2.0
16838
0.4544
0.8922
0.0816
3.0
25257
0.4770
0.9014
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
