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distilroberta-base-finetuned-resume – AI Model by vasu11 | AlphaNeural AI
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vasu11
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distilroberta-base-finetuned-resume
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
distilbert/distilroberta-base
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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distilroberta-base-finetuned-resume
This model is a fine-tuned version of
distilbert/distilroberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7595
Accuracy: 0.6310
Precision: 0.6244
Recall: 0.7291
F1: 0.6538
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: 3e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1
0.9972
1.0
583
0.8012
0.6353
0.6216
0.7158
0.6494
0.7449
2.0
1166
0.7585
0.6355
0.5715
0.6583
0.6024
0.6872
3.0
1749
0.7595
0.6310
0.6244
0.7291
0.6538
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
