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: >-
3-10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000-finetuned-spiderTraining100-1000
results: []
3-10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000-finetuned-spiderTraining100-1000
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: 0.1305
- Accuracy: 0.9623
- Precision: 0.9628
- Recall: 0.9625
- F1: 0.9623
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: 27
- eval_batch_size: 27
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 108
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.558 | 1.0 | 740 | 0.2587 | 0.9239 | 0.9277 | 0.9235 | 0.9238 |
| 0.4179 | 2.0 | 1481 | 0.1747 | 0.9482 | 0.9493 | 0.9488 | 0.9483 |
| 0.3482 | 3.0 | 2220 | 0.1305 | 0.9623 | 0.9628 | 0.9625 | 0.9623 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3