---
library_name: transformers
base_model: AlexeySorokin/ossbert-onc-unlab-bs64-5epochs
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: trainer_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. -->

# trainer_output

This model is a fine-tuned version of [AlexeySorokin/ossbert-onc-unlab-bs64-5epochs](https://huggingface.co/AlexeySorokin/ossbert-onc-unlab-bs64-5epochs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3650
- Accuracy: 95.6576
- Sentence accuracy: 59.4495

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Sentence accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------------:|
| 1.0698        | 1.0   | 546   | 0.3788          | 92.1082  | 43.1193           |
| 0.3296        | 2.0   | 1092  | 0.2647          | 94.0969  | 51.9266           |
| 0.2081        | 3.0   | 1638  | 0.2419          | 94.4745  | 52.6606           |
| 0.1458        | 4.0   | 2184  | 0.2334          | 94.9906  | 53.9450           |
| 0.1071        | 5.0   | 2730  | 0.2254          | 95.1290  | 55.7798           |
| 0.0806        | 6.0   | 3276  | 0.2527          | 95.1919  | 57.7982           |
| 0.0599        | 7.0   | 3822  | 0.2556          | 95.3052  | 56.6972           |
| 0.042         | 8.0   | 4368  | 0.2634          | 95.3556  | 57.4312           |
| 0.0343        | 9.0   | 4914  | 0.2695          | 95.4940  | 57.6147           |
| 0.0237        | 10.0  | 5460  | 0.2970          | 95.3304  | 57.9817           |
| 0.0152        | 11.0  | 6006  | 0.2884          | 95.5444  | 58.7156           |
| 0.0102        | 12.0  | 6552  | 0.2950          | 95.5318  | 58.1651           |
| 0.0088        | 13.0  | 7098  | 0.3069          | 95.6199  | 57.4312           |
| 0.0049        | 14.0  | 7644  | 0.3217          | 95.7080  | 58.7156           |
| 0.0056        | 15.0  | 8190  | 0.3223          | 95.6576  | 58.8991           |
| 0.0044        | 16.0  | 8736  | 0.3220          | 95.7709  | 58.5321           |
| 0.0036        | 17.0  | 9282  | 0.3391          | 95.7206  | 59.2661           |
| 0.0035        | 18.0  | 9828  | 0.3515          | 95.5066  | 58.3486           |
| 0.0035        | 19.0  | 10374 | 0.3600          | 95.4940  | 58.3486           |
| 0.0022        | 20.0  | 10920 | 0.3650          | 95.6576  | 59.4495           |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2