hw1

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.9151
  • Matthews Correlation: 0.5294

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: 1.2246998000876558e-05
  • train_batch_size: 8
  • eval_batch_size: 16
  • seed: 6
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Matthews Correlation
0.4949 1.0 1069 0.4726 0.4647
0.3651 2.0 2138 0.5118 0.5239
0.2996 3.0 3207 0.7391 0.5299
0.2181 4.0 4276 0.8309 0.5139
0.1807 5.0 5345 0.9151 0.5294

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.3.1+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1
Downloads last month
24
Safetensors
Model size
67M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API: The model has no library tag.

Model tree for wennycooper/hw1

Finetuned
(7633)
this model