Model save
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README.md
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---
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license: apache-2.0
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: 1-finetuned-spiderTraining5-100
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results: []
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# 1-finetuned-spiderTraining5-100
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.0258
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- Accuracy: 1.0
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- Precision: 1.0
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- Recall: 1.0
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- F1: 1.0
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1
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### Framework versions
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---
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license: apache-2.0
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base_model: facebook/convnext-tiny-224
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tags:
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- generated_from_trainer
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model-index:
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- name: 1-finetuned-spiderTraining5-100
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results: []
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# 1-finetuned-spiderTraining5-100
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This model is a fine-tuned version of [facebook/convnext-tiny-224](https://huggingface.co/facebook/convnext-tiny-224) on an unknown dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0005
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- train_batch_size: 64
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- eval_batch_size: 64
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| No log | 0.57 | 1 | 1.5993 | 0.22 | 0.2497 | 0.2369 | 0.2216 |
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### Framework versions
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