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license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_base_72
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_base_72
This model is a fine-tuned version of [gokuls/bert_base_48](https://huggingface.co/gokuls/bert_base_48) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3795
- Accuracy: 0.4262
## 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: 1e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 5.6041 | 0.08 | 10000 | 5.5567 | 0.1751 |
| 5.4727 | 0.16 | 20000 | 5.3950 | 0.1953 |
| 5.3385 | 0.25 | 30000 | 5.2277 | 0.2150 |
| 5.2034 | 0.33 | 40000 | 5.0608 | 0.2335 |
| 4.7808 | 0.41 | 50000 | 4.5612 | 0.2910 |
| 4.1997 | 0.49 | 60000 | 4.0041 | 0.3519 |
| 3.804 | 0.57 | 70000 | 3.6509 | 0.3906 |
| 3.5517 | 0.66 | 80000 | 3.3795 | 0.4262 |
### Framework versions
- Transformers 4.30.1
- Pytorch 1.14.0a0+410ce96
- Datasets 2.12.0
- Tokenizers 0.13.3
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