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classify_resume_model – AI Model by LijinDurairaj | AlphaNeural AI
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classify_resume_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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classify_resume_model
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9521
Accuracy: 0.8048
Precision: 0.7451
F1-score: 0.7275
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: 1.886221353119542e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 499
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
F1-score
No log
1.0
249
2.6457
0.5312
0.4607
0.4336
No log
2.0
498
0.9521
0.8048
0.7451
0.7275
Framework versions
Transformers 4.44.2
Pytorch 2.4.1+cu121
Tokenizers 0.19.1
