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distilhubert-finetuned-zindi_techcabal – AI Model by DanielTobi0 | AlphaNeural AI
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DanielTobi0
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distilhubert-finetuned-zindi_techcabal
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tensorboard
safetensors
hubert
generated_from_trainer
ntu-spml/distilhubert
finetune
apache-2.0
us
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distilhubert-finetuned-zindi_techcabal
This model is a fine-tuned version of
ntu-spml/distilhubert
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7427
Accuracy: 0.9064
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: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.6794
1.0
38
1.4849
0.7303
0.9882
2.0
76
0.8901
0.8483
0.8177
3.0
114
0.7427
0.9064
Framework versions
Transformers 4.44.0
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
