Edit model card

AV_MAE_DF1M_noCEnoCL_new

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

  • Loss: 0.2893
  • Accuracy: 0.9352
  • F1: 0.9348

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: 14120
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Accuracy F1
0.4187 0.32 4517 0.3861 0.9068 0.9061
0.2655 1.32 9033 0.3171 0.9255 0.9253
0.7603 2.32 13549 0.2914 0.9355 0.9351
0.3845 3.04 14120 0.2893 0.9352 0.9348

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.2.1+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.1
Downloads last month
4
Safetensors
Model size
172M params
Tensor type
F32
·
Model state unknown