modelofine2

This model is a fine-tuned version of projecte-aina/roberta-base-ca-v2-cased-te on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.6811
  • Accuracy: 0.6471

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: 7e-05
  • train_batch_size: 20
  • eval_batch_size: 2
  • 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: 60
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 3.2258 100 2.7256 0.5546
No log 6.4516 200 2.7585 0.5714
No log 9.6774 300 2.9830 0.5378
No log 12.9032 400 3.8506 0.5042
0.0468 16.1290 500 3.4211 0.5294
0.0468 19.3548 600 2.7938 0.5882
0.0468 22.5806 700 2.9805 0.6050
0.0468 25.8065 800 2.9111 0.5882
0.0468 29.0323 900 2.7054 0.6134
0.0358 32.2581 1000 2.6811 0.6471
0.0358 35.4839 1100 2.8372 0.6134

Framework versions

  • Transformers 4.40.0
  • Pytorch 2.1.0+cu121
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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