| | --- |
| | license: apache-2.0 |
| | base_model: google-bert/bert-base-uncased |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: my_awesome_bert_mlm_model |
| | 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. --> |
| |
|
| | # my_awesome_bert_mlm_model |
| |
|
| | This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: nan |
| |
|
| | ## 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: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.6177 | 1.0 | 2495 | nan | |
| | | 0.4897 | 2.0 | 4990 | nan | |
| | | 0.52 | 3.0 | 7485 | nan | |
| | | 0.4819 | 4.0 | 9980 | nan | |
| | | 0.4579 | 5.0 | 12475 | nan | |
| | | 0.4826 | 6.0 | 14970 | nan | |
| | | 0.4627 | 7.0 | 17465 | nan | |
| | | 0.4844 | 8.0 | 19960 | nan | |
| | | 0.372 | 9.0 | 22455 | nan | |
| | | 0.4473 | 10.0 | 24950 | nan | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.42.4 |
| | - Pytorch 2.3.1+cu121 |
| | - Tokenizers 0.19.1 |
| |
|
