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---
license: apache-2.0
base_model: facebook/convnextv2-tiny-22k-384
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: convnextv2-tiny-22k-384-finetuned-spiderTraining5-100
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# convnextv2-tiny-22k-384-finetuned-spiderTraining5-100
This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4642
- Accuracy: 0.9
- Precision: 0.9035
- Recall: 0.9103
- F1: 0.9024
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| No log | 0.96 | 6 | 1.1802 | 0.68 | 0.6789 | 0.6869 | 0.6751 |
| 1.3233 | 1.92 | 12 | 0.7867 | 0.84 | 0.8603 | 0.8570 | 0.8388 |
| 1.3233 | 2.88 | 18 | 0.5761 | 0.9 | 0.9035 | 0.9103 | 0.9024 |
| 0.6617 | 4.0 | 25 | 0.4823 | 0.9 | 0.9035 | 0.9103 | 0.9024 |
| 0.4323 | 4.8 | 30 | 0.4642 | 0.9 | 0.9035 | 0.9103 | 0.9024 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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