bart_tr_dependencyparsing

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

  • Loss: 0.0136

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.3664 0.2187 1000 0.0402
0.0437 0.4374 2000 0.0287
0.0358 0.6562 3000 0.0250
0.0304 0.8749 4000 0.0223
0.0276 1.0936 5000 0.0203
0.0246 1.3123 6000 0.0195
0.0234 1.5311 7000 0.0181
0.0227 1.7498 8000 0.0167
0.0213 1.9685 9000 0.0157
0.0193 2.1872 10000 0.0149
0.0184 2.4059 11000 0.0144
0.0177 2.6247 12000 0.0140
0.017 2.8434 13000 0.0136

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1
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