| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: bert-base-uncased-classification-flat |
| | 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. --> |
| |
|
| | # bert-base-uncased-classification-flat |
| |
|
| | This model is a fine-tuned version of [irfanamal/bert-base-uncased-finetuned-amazonreviews](https://huggingface.co/irfanamal/bert-base-uncased-finetuned-amazonreviews) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.4951 |
| | - Accuracy: 0.4957 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | 3.7227 | 1.0 | 1250 | 3.3098 | 0.3826 | |
| | | 2.6109 | 2.0 | 2500 | 2.7897 | 0.4568 | |
| | | 2.2396 | 3.0 | 3750 | 2.5943 | 0.4809 | |
| | | 1.9093 | 4.0 | 5000 | 2.5155 | 0.4937 | |
| | | 1.7949 | 5.0 | 6250 | 2.4951 | 0.4957 | |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.29.2 |
| | - Pytorch 2.0.0 |
| | - Datasets 2.1.0 |
| | - Tokenizers 0.13.3 |
| |
|
