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---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: office-character
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. -->
# office-character
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3478
- Accuracy: 0.3247
## 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: 3.3e-06
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.4973 | 0.18 | 200 | 2.4079 | 0.3173 |
| 2.4484 | 0.36 | 400 | 2.4126 | 0.3077 |
| 2.398 | 0.54 | 600 | 2.3910 | 0.314 |
| 2.4151 | 0.72 | 800 | 2.3812 | 0.317 |
| 2.3982 | 0.9 | 1000 | 2.3672 | 0.327 |
| 2.3402 | 1.08 | 1200 | 2.3622 | 0.3263 |
| 2.3362 | 1.26 | 1400 | 2.3591 | 0.3253 |
| 2.3865 | 1.43 | 1600 | 2.3641 | 0.3177 |
| 2.3623 | 1.61 | 1800 | 2.3553 | 0.3253 |
| 2.3528 | 1.79 | 2000 | 2.3576 | 0.3213 |
| 2.3225 | 1.97 | 2200 | 2.3488 | 0.3257 |
| 2.342 | 2.15 | 2400 | 2.3486 | 0.326 |
| 2.3279 | 2.33 | 2600 | 2.3588 | 0.3197 |
| 2.3177 | 2.51 | 2800 | 2.3472 | 0.3217 |
| 2.3509 | 2.69 | 3000 | 2.3483 | 0.3273 |
| 2.325 | 2.87 | 3200 | 2.3478 | 0.3247 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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