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distilbert-base-uncased-finetuned-sst2 – AI Model by winegarj | AlphaNeural AI
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winegarj
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distilbert-base-uncased-finetuned-sst2
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transformers
pytorch
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilbert-base-uncased-finetuned-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: 0.2584
Accuracy: 0.9037
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: 2e-05
train_batch_size: 512
eval_batch_size: 512
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.06
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
132
0.2525
0.8956
No log
2.0
264
0.2584
0.9037
No log
3.0
396
0.2673
0.9014
Framework versions
Transformers 4.57.6
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
