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---
language:
- en
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert-plus-embedderForMLM-goodwiki-deduped-split_4096-usecache
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-plus-embedderForMLM-goodwiki-deduped-split_4096-usecache
This model was trained from scratch on the BEE-spoke-data/goodwiki-deduped-split dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9835
- Accuracy: 0.6159
## 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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 31010
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.1283 | 0.25 | 150 | 2.0892 | 0.6018 |
| 2.0999 | 0.5 | 300 | 2.0387 | 0.6084 |
| 2.0595 | 0.75 | 450 | 1.9971 | 0.6143 |
| 2.0481 | 1.0 | 600 | 1.9893 | 0.6152 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0.dev20240206+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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