Hugging Face's logo

philgrey
/
my_awesome_model

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
Inference Endpoints
Model card Files Community
my_awesome_model / README.md
philgrey's picture
philgrey
End of training
68dce85 verified
preview code
|
raw
history blame
1.46 kB
metadata
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: my_awesome_model
    results: []

my_awesome_model

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

  • Loss: 0.6536
  • Accuracy: 0.9437

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 15 0.8108 0.8187
No log 2.0 30 0.6536 0.9437

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.1.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1