| --- |
| license: apache-2.0 |
| base_model: bert-large-uncased |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: LLM |
| 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. --> |
|
|
| # LLM |
|
|
| This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.7030 |
| - Accuracy: 0.15 |
|
|
| ## Model description |
|
|
| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 12 | 1.6756 | 0.1 | |
| | No log | 2.0 | 24 | 1.6728 | 0.15 | |
| | No log | 3.0 | 36 | 1.6773 | 0.2 | |
| | No log | 4.0 | 48 | 1.6952 | 0.2 | |
| | No log | 5.0 | 60 | 1.7030 | 0.15 | |
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| ### Framework versions |
|
|
| - Transformers 4.32.1 |
| - Pytorch 1.13.1 |
| - Datasets 2.14.4 |
| - Tokenizers 0.13.3 |
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|
