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sst2 – AI Model by dsvill06 | AlphaNeural AI
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dsvill06
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sst2
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transformers
tensorboard
safetensors
bert_hash
text-classification
generated_from_trainer
custom_code
apache-2.0
us
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sst2
This model is a fine-tuned version of
neuml/bert-hash-nano
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.5085
Accuracy: 0.7982
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: 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: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4466
1.0
8419
0.4897
0.7649
0.3809
2.0
16838
0.4901
0.7901
0.3606
3.0
25257
0.5085
0.7982
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
