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DATA785-distilbert-finetuned – AI Model by ChristopherDennisPharmD | AlphaNeural AI
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DATA785-distilbert-finetuned
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transformers
safetensors
distilbert
text-classification
generated_from_trainer
Kai1014/distilbert-finetuned
finetune
apache-2.0
text-embeddings-inference
endpoints_compatible
us
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DATA785-distilbert-finetuned
This model is a fine-tuned version of
Kai1014/distilbert-finetuned
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1217
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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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
0.5215
1.0
3789
0.0774
0.2583
2.0
7578
0.1115
0.3736
3.0
11367
0.1217
Framework versions
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2
