AV_MAE_2class_DF1M / README.md
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metadata
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - f1
model-index:
  - name: AV_MAE_2class_DF1M
    results: []

AV_MAE_2class_DF1M

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

  • Loss: 0.3200
  • Accuracy: 0.9335
  • F1: 0.9334

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • training_steps: 28240
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.2874 0.16 4515 0.3124 0.9181 0.9181
0.4418 1.16 9030 0.3153 0.9261 0.9260
0.453 2.16 13546 0.2692 0.9305 0.9305
0.2247 3.16 18062 0.2746 0.9308 0.9307
0.0751 4.16 22579 0.2604 0.9382 0.9380
0.0827 5.16 27095 0.2913 0.9366 0.9365
0.1658 6.04 28240 0.3200 0.9335 0.9334

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.1