README.md

metadata

license: apache-2.0
base_model: zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000
tags:
  - generated_from_trainer
metrics:
  - accuracy
  - precision
  - recall
  - f1
model-index:
  - name: 1-finetuned-spiderTraining5-100
    results: []

1-finetuned-spiderTraining5-100

This model is a fine-tuned version of zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0329
• Accuracy: 1.0
• Precision: 1.0
• Recall: 1.0
• F1: 1.0

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: 0.0005
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
0.6503	0.96	12	0.0329	1.0	1.0	1.0	1.0

Framework versions

• Transformers 4.33.2
• Pytorch 2.2.0.dev20230921
• Datasets 2.14.5
• Tokenizers 0.13.3