Model save

README.md

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+---
+license: apache-2.0
+base_model: zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: 1-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. -->
+
+# 1-finetuned-spiderTraining5-100
+
+This model is a fine-tuned version of [zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000](https://huggingface.co/zkdeng/10-convnextv2-base-22k-384-finetuned-spiderTraining1000-1000) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0329
+- Accuracy: 1.0
+- Precision: 1.0
+- Recall: 1.0
+- F1: 1.0
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
+| 0.6503        | 0.96  | 12   | 0.0329          | 1.0      | 1.0       | 1.0    | 1.0 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.2.0.dev20230921
+- Datasets 2.14.5
+- Tokenizers 0.13.3