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lora_fine_tuned_cb_croslo

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

  • Loss: 1.3172
  • Accuracy: 0.3182
  • F1: 0.1536

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: 2e-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
  • training_steps: 400

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
1.0956 3.5714 50 1.1024 0.3636 0.3027
0.8669 7.1429 100 1.1540 0.3182 0.1536
0.7634 10.7143 150 1.2351 0.3182 0.1536
0.7 14.2857 200 1.2885 0.3182 0.1536
0.6951 17.8571 250 1.3121 0.3182 0.1536
0.7047 21.4286 300 1.3145 0.3182 0.1536
0.6769 25.0 350 1.3154 0.3182 0.1536
0.6886 28.5714 400 1.3172 0.3182 0.1536

Framework versions

  • PEFT 0.10.1.dev0
  • Transformers 4.40.1
  • Pytorch 2.3.0
  • Datasets 2.19.0
  • Tokenizers 0.19.1
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