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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 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Tokenizers 0.19.1
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