Hugging Face's logo

aakrutikatre
/
feature_extraction_bert_v3

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
feature_extraction_bert_v3 / README.md
aakrutikatre's picture
aakrutikatre
End of training
a1136c5 verified
preview code
|
raw
history blame contribute delete
1.65 kB
metadata
library_name: transformers
license: apache-2.0
base_model: bert-base-uncased
tags:
  - generated_from_trainer
model-index:
  - name: feature_extraction_bert_v3
    results: []

feature_extraction_bert_v3

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6515

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 83 0.6953
No log 2.0 166 0.6528
No log 3.0 249 0.6403
No log 4.0 332 0.6583
No log 5.0 415 0.6589
No log 6.0 498 0.6515

Framework versions

  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3