finetuned_model / README.md
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metadata
library_name: peft
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
  - generated_from_trainer
datasets:
  - biobert_json
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: finetuned_model
    results: []

finetuned_model

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the biobert_json dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Precision: 0.0025
  • Recall: 0.0130
  • F1: 0.0042
  • Accuracy: 0.0207

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
0.0 1.0 306 nan 0.0025 0.0130 0.0042 0.0207
0.0 2.0 612 nan 0.0025 0.0130 0.0042 0.0207
0.0 3.0 918 nan 0.0025 0.0130 0.0042 0.0207
0.0 4.0 1224 nan 0.0025 0.0130 0.0042 0.0207
0.0 5.0 1530 nan 0.0025 0.0130 0.0042 0.0207

Framework versions

  • PEFT 0.13.2
  • Transformers 4.46.3
  • Pytorch 2.5.1+cu121
  • Datasets 3.2.0
  • Tokenizers 0.20.3