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distillbert-base-drug-effectiveness-classification-model – AI Model by jvbjkbjkbfjis | AlphaNeural AI
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distillbert-base-drug-effectiveness-classification-model
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transformers
tensorboard
safetensors
distilbert
text-classification
generated_from_trainer
distilbert/distilbert-base-uncased
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distillbert-base-drug-effectiveness-classification-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: 1.3800
F1: 0.4333
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: 128
eval_batch_size: 128
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
F1
No log
1.0
401
1.4627
0.4117
1.6681
2.0
802
1.4132
0.4304
1.3968
3.0
1203
1.3890
0.4258
1.3289
4.0
1604
1.3800
0.4333
Framework versions
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1
