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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-spiderTraining100-100
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-spiderTraining100-100
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: 1.3486
- Accuracy: 0.701
- Precision: 0.7150
- Recall: 0.7084
- F1: 0.6938
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 3.5739 | 1.0 | 125 | 3.3357 | 0.285 | 0.2941 | 0.2850 | 0.2516 |
| 2.3021 | 2.0 | 250 | 2.1181 | 0.539 | 0.5835 | 0.5471 | 0.5192 |
| 1.832 | 3.0 | 375 | 1.6195 | 0.658 | 0.6774 | 0.6692 | 0.6492 |
| 1.4719 | 4.0 | 500 | 1.4212 | 0.689 | 0.7076 | 0.6984 | 0.6801 |
| 1.3378 | 5.0 | 625 | 1.3486 | 0.701 | 0.7150 | 0.7084 | 0.6938 |
### Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
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