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metadata
license: apache-2.0
base_model: ibaucells/RoBERTa-ca-CaWikiTC
tags:
  - generated_from_trainer
model-index:
  - name: test7_balanced_and_sentence
    results: []

test7_balanced_and_sentence

This model is a fine-tuned version of ibaucells/RoBERTa-ca-CaWikiTC on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7381

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: 10
  • eval_batch_size: 10
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 30

Training results

Training Loss Epoch Step Validation Loss
2.8474 1.0 63 2.8422
2.8221 2.0 126 2.8406
2.8228 3.0 189 2.8483
2.7804 4.0 252 2.8079
2.6707 5.0 315 2.7224
2.5542 6.0 378 2.6884
2.3782 7.0 441 2.5568
2.302 8.0 504 2.5003
1.9717 9.0 567 2.2786
1.7659 10.0 630 2.1437
1.4552 11.0 693 2.0261
1.1394 12.0 756 1.8772
0.8644 13.0 819 1.8367
0.826 14.0 882 1.6980
0.5626 15.0 945 1.8251
0.3684 16.0 1008 1.8207
0.2861 17.0 1071 2.0102
0.2056 18.0 1134 2.2188
0.1174 19.0 1197 2.1110
0.1485 20.0 1260 2.1932
0.1064 21.0 1323 2.2119
0.065 22.0 1386 2.3062
0.0528 23.0 1449 2.3949
0.0734 24.0 1512 2.3761
0.0342 25.0 1575 2.4951
0.0686 26.0 1638 2.5017
0.0281 27.0 1701 2.5199
0.0262 28.0 1764 2.5461
0.0346 29.0 1827 2.5469
0.0261 30.0 1890 2.5541

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2