jointriple/brand_classification_2_20240626_model_1

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: results
+  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. -->
+
+# results
+
+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:
+- Loss: 4.9735
+- Accuracy: 0.7396
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 512
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 7.3089        | 1.0   | 592  | 6.6011          | 0.1957   |
+| 6.5028        | 2.0   | 1185 | 5.8580          | 0.5069   |
+| 5.9384        | 3.0   | 1778 | 5.3658          | 0.6636   |
+| 5.5484        | 4.0   | 2371 | 5.0733          | 0.7220   |
+| 5.2914        | 4.99  | 2960 | 4.9735          | 0.7396   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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