| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: albert-base-v2 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: albert-base-v2-wordnet_combined_one-fine-tuned |
| 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. --> |
|
|
| # albert-base-v2-wordnet_combined_one-fine-tuned |
|
|
| This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.1222 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
|
|
| ## Training procedure |
|
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 5e-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 |
| - num_epochs: 3 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.249 | 1.0 | 7354 | 0.2601 | |
| | 0.1908 | 2.0 | 14708 | 0.1434 | |
| | 0.1485 | 3.0 | 22062 | 0.1222 | |
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| ### Framework versions |
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| - Transformers 4.45.1 |
| - Pytorch 2.4.0 |
| - Datasets 3.0.1 |
| - Tokenizers 0.20.0 |
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|
