dfm_ED / README.md
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metadata
library_name: transformers
license: mit
base_model: KennethEnevoldsen/dfm-sentence-encoder-large
tags:
  - generated_from_trainer
model-index:
  - name: dfm_ED
    results: []

dfm_ED

This model is a fine-tuned version of KennethEnevoldsen/dfm-sentence-encoder-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6486
  • F1-score: 0.9180

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: 5e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss F1-score
No log 1.0 69 0.4303 0.8683
No log 2.0 138 0.5203 0.8442
No log 3.0 207 0.6280 0.8926
No log 4.0 276 0.6846 0.9003
No log 5.0 345 0.7642 0.9014
No log 6.0 414 0.8076 0.9014
No log 7.0 483 0.8324 0.9014
0.1316 8.0 552 0.8670 0.9010
0.1316 9.0 621 1.2453 0.8499
0.1316 10.0 690 0.6486 0.9180
0.1316 11.0 759 1.1641 0.8671
0.1316 12.0 828 0.8504 0.9097
0.1316 13.0 897 0.8590 0.9096
0.1316 14.0 966 0.8651 0.9096
0.0051 15.0 1035 0.8829 0.8934
0.0051 16.0 1104 0.9813 0.8848
0.0051 17.0 1173 0.9844 0.8848
0.0051 18.0 1242 0.9857 0.8848
0.0051 19.0 1311 0.9858 0.8848
0.0051 20.0 1380 0.9859 0.8848

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 2.21.0
  • Tokenizers 0.19.1