---
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