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---
library_name: transformers
tags:
- generated_from_trainer
datasets:
- Hartunka/processed_wikitext-103-raw-v1-rand-20_v2
metrics:
- accuracy
model-index:
- name: bert_base_rand_20_v2
results:
- task:
name: Masked Language Modeling
type: fill-mask
dataset:
name: Hartunka/processed_wikitext-103-raw-v1-rand-20_v2
type: Hartunka/processed_wikitext-103-raw-v1-rand-20_v2
metrics:
- name: Accuracy
type: accuracy
value: 0.15350059332090185
---
<!-- 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_base_rand_20_v2
This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_wikitext-103-raw-v1-rand-20_v2 dataset.
It achieves the following results on the evaluation set:
- Loss: 9.0856
- Accuracy: 0.1535
## 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: 96
- eval_batch_size: 96
- seed: 10
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 9.0594 | 4.1982 | 10000 | 9.0651 | 0.1509 |
| 8.3784 | 8.3963 | 20000 | 9.5020 | 0.1525 |
| 7.3382 | 12.5945 | 30000 | 10.8556 | 0.1530 |
| 6.6369 | 16.7926 | 40000 | 11.9521 | 0.1520 |
| 6.2858 | 20.9908 | 50000 | 12.4615 | 0.1513 |
### Framework versions
- Transformers 4.50.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.21.1
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