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results – AI Model by Avitas8485 | AlphaNeural AI
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Avitas8485
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results
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transformers
safetensors
bert
text-classification
generated_from_trainer
nreimers/MiniLM-L6-H384-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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results
This model is a fine-tuned version of
nreimers/MiniLM-L6-H384-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3115
Accuracy: 0.9225
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
71
0.4707
0.8169
No log
2.0
142
0.4302
0.8662
No log
3.0
213
0.2765
0.9085
No log
4.0
284
0.2675
0.9296
No log
5.0
355
0.3115
0.9225
Framework versions
Transformers 4.53.1
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.2
