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rst-model – AI Model by SamuraiSX | AlphaNeural AI
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rst-model
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safetensors
distilbert
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
us
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rst-model
This model is a fine-tuned version of
distilbert/distilbert-base-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2462
Accuracy: 0.9252
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.2487
1.0
1407
0.2192
0.9136
0.1429
2.0
2814
0.2462
0.9252
Framework versions
Transformers 4.41.2
Pytorch 2.4.1+cu124
Datasets 2.20.0
Tokenizers 0.19.1
