Model save

README.md

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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: 0.4612
+- 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    | 1.1803          | 0.68     | 0.6789    | 0.6869 | 0.6751 |
+| 1.3235        | 1.92  | 12   | 0.7862          | 0.84     | 0.8603    | 0.8570 | 0.8388 |
+| 1.3235        | 2.88  | 18   | 0.5749          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
+| 0.6609        | 4.0   | 25   | 0.4798          | 0.9      | 0.9035    | 0.9103 | 0.9024 |
+| 0.43          | 4.8   | 30   | 0.4612          | 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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