Hugging Face's logo

ofirofir99
/
pls_work

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
pls_work / README.md
ofirofir99's picture
ofirofir99
End of training
95e03e5 verified
preview code
|
raw
history blame contribute delete
1.51 kB
metadata
license: apache-2.0
base_model: onlplab/alephbert-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: pls_work
    results: []

pls_work

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

  • Loss: 0.3127
  • Accuracy: 0.8789

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: 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: 2
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 451 0.3080 0.8756
0.3776 2.0 902 0.3127 0.8789

Framework versions

  • Transformers 4.43.3
  • Pytorch 2.4.0
  • Datasets 2.19.1
  • Tokenizers 0.19.1