Hugging Face's logo

Cippppy
/
mobilebert_500exs_10timesteps

Text Classification
Transformers
Safetensors
mobilebert
Generated from Trainer
Inference Endpoints
Model card Files Community
mobilebert_500exs_10timesteps / README.md
Cippppy's picture
Cippppy
End of training
ebb851e verified
preview code
|
raw
history blame contribute delete
2.33 kB
metadata
license: apache-2.0
base_model: google/mobilebert-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: mobilebert_500exs_10timesteps
    results: []

mobilebert_500exs_10timesteps

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

  • Loss: 0.7109
  • Accuracy: 0.55

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-06
  • 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: 16

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 16 3126378.25 0.45
No log 2.0 32 2298910.5 0.45
No log 3.0 48 1604316.0 0.45
No log 4.0 64 1062719.5 0.45
No log 5.0 80 620928.0 0.45
No log 6.0 96 213084.875 0.45
No log 7.0 112 11615.9521 0.45
No log 8.0 128 3076.3987 0.45
No log 9.0 144 2151.5054 0.45
No log 10.0 160 1142.7941 0.45
No log 11.0 176 6.6242 0.45
No log 12.0 192 1.4116 0.45
No log 13.0 208 0.8847 0.45
No log 14.0 224 0.6917 0.54
No log 15.0 240 0.7124 0.55
No log 16.0 256 0.7109 0.55

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.0+cu118
  • Datasets 2.17.1
  • Tokenizers 0.15.2