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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: 2.5873
- Accuracy: 0.1544
## 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: 5e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2.5
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6964 | 0.16 | 60 | 2.6756 | 0.0834 |
| 2.6947 | 0.31 | 120 | 2.6670 | 0.0947 |
| 2.6716 | 0.47 | 180 | 2.6428 | 0.1139 |
| 2.6315 | 0.63 | 240 | 2.6252 | 0.1268 |
| 2.6113 | 0.79 | 300 | 2.6205 | 0.1310 |
| 2.5936 | 0.94 | 360 | 2.6137 | 0.1293 |
| 2.5298 | 1.1 | 420 | 2.6065 | 0.1381 |
| 2.4691 | 1.26 | 480 | 2.6097 | 0.1452 |
| 2.4645 | 1.42 | 540 | 2.6015 | 0.1519 |
| 2.4404 | 1.57 | 600 | 2.5912 | 0.1414 |
| 2.4435 | 1.73 | 660 | 2.5890 | 0.1464 |
| 2.4425 | 1.89 | 720 | 2.5928 | 0.1514 |
| 2.4038 | 2.05 | 780 | 2.5880 | 0.1481 |
| 2.2601 | 2.2 | 840 | 2.5941 | 0.1423 |
| 2.2858 | 2.36 | 900 | 2.5873 | 0.1544 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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