metadata
license: apache-2.0
base_model: facebook/convnextv2-base-22k-384
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: 5-convnextv2-base-22k-384-finetuned-spiderTraining50-200
results: []
5-convnextv2-base-22k-384-finetuned-spiderTraining50-200
This model is a fine-tuned version of facebook/convnextv2-base-22k-384 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2780
- Accuracy: 0.9199
- Precision: 0.9173
- Recall: 0.9203
- F1: 0.9167
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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 1.0428 | 1.0 | 499 | 0.8337 | 0.7598 | 0.7843 | 0.7650 | 0.7530 |
| 0.7132 | 2.0 | 999 | 0.4413 | 0.8709 | 0.8722 | 0.8701 | 0.8661 |
| 0.4802 | 3.0 | 1499 | 0.3552 | 0.8869 | 0.8918 | 0.8862 | 0.8834 |
| 0.4238 | 4.0 | 1999 | 0.2918 | 0.9099 | 0.9095 | 0.9101 | 0.9065 |
| 0.2661 | 4.99 | 2495 | 0.2780 | 0.9199 | 0.9173 | 0.9203 | 0.9167 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3