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---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: output
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. -->
# output
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2749
- Accuracy: 0.9364
## 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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 10.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.2399 | 1.0 | 2500 | 0.2539 | 0.9037 |
| 0.2454 | 2.0 | 5000 | 0.2753 | 0.9064 |
| 0.2251 | 3.0 | 7500 | 0.2436 | 0.9167 |
| 0.1996 | 4.0 | 10000 | 0.2271 | 0.9246 |
| 0.1845 | 5.0 | 12500 | 0.2116 | 0.9269 |
| 0.205 | 6.0 | 15000 | 0.1946 | 0.9312 |
| 0.1352 | 7.0 | 17500 | 0.2233 | 0.9328 |
| 0.1306 | 8.0 | 20000 | 0.2257 | 0.936 |
| 0.0849 | 9.0 | 22500 | 0.2582 | 0.9372 |
| 0.0609 | 10.0 | 25000 | 0.2749 | 0.9364 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
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