Edit model card

da-sentiment

This model is a fine-tuned version of Maltehb/danish-bert-botxo on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4976
  • Accuracy: 0.8377

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: 1e-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: 15

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 58 0.6168 0.7446
No log 2.0 116 0.5689 0.7554
0.4255 3.0 174 0.5542 0.7814
0.4255 4.0 232 0.5224 0.7944
0.2655 5.0 290 0.5172 0.8030
0.2655 6.0 348 0.4992 0.8182
0.1944 7.0 406 0.4852 0.8290
0.1944 8.0 464 0.4972 0.8312
0.1772 9.0 522 0.4905 0.8333
0.1772 10.0 580 0.4915 0.8290
0.1772 11.0 638 0.4936 0.8333
0.1654 12.0 696 0.4939 0.8333
0.1654 13.0 754 0.4944 0.8377
0.1605 14.0 812 0.4969 0.8355
0.1605 15.0 870 0.4976 0.8377

Framework versions

  • Transformers 4.28.0
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
Downloads last month
71
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for mirfan899/da-sentiment

Finetuned
(9)
this model