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-spiderTraining5-2000
+  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-spiderTraining5-2000
+
+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: 0.0553
+- Accuracy: 0.9800
+- Precision: 0.9799
+- Recall: 0.9798
+- F1: 0.9798
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.1834        | 1.0   | 125  | 0.1125          | 0.9630   | 0.9646    | 0.9618 | 0.9628 |
+| 0.1419        | 2.0   | 250  | 0.0716          | 0.9780   | 0.9783    | 0.9775 | 0.9779 |
+| 0.1279        | 3.0   | 375  | 0.0678          | 0.9780   | 0.9778    | 0.9777 | 0.9777 |
+| 0.0901        | 4.0   | 500  | 0.0538          | 0.9800   | 0.9799    | 0.9798 | 0.9798 |
+| 0.0804        | 5.0   | 625  | 0.0553          | 0.9800   | 0.9799    | 0.9798 | 0.9798 |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.13.3

pytorch_model.bin

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