---
library_name: transformers
license: apache-2.0
base_model: AlexeySorokin/ossbert-onc-unlab-from_multilingual-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-from_multilingual-bs64-5epochs](https://huggingface.co/AlexeySorokin/ossbert-onc-unlab-from_multilingual-bs64-5epochs) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3347
- Accuracy: 95.4303
- Sentence accuracy: 59.6330

## 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: 20

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy | Sentence accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|:-----------------:|
| 1.078         | 0.9158  | 500  | 0.4205          | 90.6601  | 40.9174           |
| 0.3523        | 1.8315  | 1000 | 0.3095          | 93.0652  | 49.3578           |
| 0.2309        | 2.7473  | 1500 | 0.2662          | 93.8669  | 53.2110           |
| 0.1617        | 3.6630  | 2000 | 0.2546          | 94.4548  | 53.9450           |
| 0.1228        | 4.5788  | 2500 | 0.2582          | 94.6686  | 55.4128           |
| 0.0914        | 5.4945  | 3000 | 0.2701          | 94.7622  | 55.5963           |
| 0.0714        | 6.4103  | 3500 | 0.2675          | 94.8290  | 57.2477           |
| 0.0538        | 7.3260  | 4000 | 0.2810          | 94.9893  | 58.1651           |
| 0.0381        | 8.2418  | 4500 | 0.2897          | 94.8824  | 56.5138           |
| 0.0306        | 9.1575  | 5000 | 0.3038          | 94.9626  | 56.6972           |
| 0.0223        | 10.0733 | 5500 | 0.2998          | 95.4570  | 59.6330           |
| 0.0164        | 10.9890 | 6000 | 0.2990          | 95.1897  | 57.7982           |
| 0.0116        | 11.9048 | 6500 | 0.3082          | 95.4035  | 59.6330           |
| 0.0089        | 12.8205 | 7000 | 0.3087          | 95.5505  | 60.5505           |
| 0.0071        | 13.7363 | 7500 | 0.3134          | 95.4035  | 59.4495           |
| 0.0058        | 14.6520 | 8000 | 0.3157          | 95.4570  | 60.0              |
| 0.0046        | 15.5678 | 8500 | 0.3311          | 95.5104  | 61.1009           |
| 0.0038        | 16.4835 | 9000 | 0.3332          | 95.3634  | 59.2661           |
| 0.0027        | 17.3993 | 9500 | 0.3347          | 95.4303  | 59.6330           |


### Framework versions

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