metadata

library_name: transformers
license: apache-2.0
base_model: facebook/convnextv2-base-22k-224
tags:
  - generated_from_trainer
model-index:
  - name: convnextv2-base-22k-224-finetuned-tekno24-highdata-90
    results: []

convnextv2-base-22k-224-finetuned-tekno24-highdata-90

This model is a fine-tuned version of facebook/convnextv2-base-22k-224 on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.9598
eval_model_preparation_time: 0.0061
eval_accuracy: 0.6728
eval_f1: 0.6660
eval_precision: 0.6840
eval_recall: 0.6728
eval_runtime: 2.2537
eval_samples_per_second: 96.288
eval_steps_per_second: 6.212
step: 0

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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30
mixed_precision_training: Native AMP

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1