data-silence/dress-classifier

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+- precision
+- recall
+model-index:
+- name: dress-classifier
+  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. -->
+
+# dress-classifier
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
+It achieves the following results on the evaluation set:
+- F1: 0.9260
+- Loss: 0.3490
+- Accuracy: 0.9256
+- Precision: 0.9265
+- Recall: 0.9256
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | F1     | Validation Loss | Accuracy | Precision | Recall |
+|:-------------:|:-----:|:----:|:------:|:---------------:|:--------:|:---------:|:------:|
+| No log        | 1.0   | 269  | 0.8817 | 0.2965          | 0.8940   | 0.8942    | 0.8940 |
+| 0.3442        | 2.0   | 538  | 0.9133 | 0.2740          | 0.9163   | 0.9133    | 0.9163 |
+| 0.3442        | 3.0   | 807  | 0.9096 | 0.2904          | 0.9060   | 0.9174    | 0.9060 |
+| 0.1397        | 4.0   | 1076 | 0.9231 | 0.3103          | 0.9237   | 0.9227    | 0.9237 |
+| 0.1397        | 5.0   | 1345 | 0.9260 | 0.3490          | 0.9256   | 0.9265    | 0.9256 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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