---
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: 0.3048
- Accuracy: 96.0396
- Sentence accuracy: 60.7339

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-----------------:|
| 1.0056        | 1.0   | 546   | 0.3472          | 92.4552  | 44.0367           |
| 0.3162        | 2.0   | 1092  | 0.2379          | 94.3602  | 53.3945           |
| 0.2008        | 3.0   | 1638  | 0.2177          | 94.6359  | 54.1284           |
| 0.1436        | 4.0   | 2184  | 0.2147          | 94.9743  | 55.9633           |
| 0.111         | 5.0   | 2730  | 0.2067          | 95.3754  | 59.0826           |
| 0.0842        | 6.0   | 3276  | 0.2132          | 95.5258  | 59.0826           |
| 0.0643        | 7.0   | 3822  | 0.2264          | 95.4506  | 60.3670           |
| 0.0481        | 8.0   | 4368  | 0.2335          | 95.5007  | 59.8165           |
| 0.0389        | 9.0   | 4914  | 0.2442          | 95.6761  | 58.8991           |
| 0.0305        | 10.0  | 5460  | 0.2603          | 95.6260  | 59.0826           |
| 0.0197        | 11.0  | 6006  | 0.2640          | 95.6135  | 60.3670           |
| 0.015         | 12.0  | 6552  | 0.2649          | 95.8140  | 60.1835           |
| 0.0122        | 13.0  | 7098  | 0.2686          | 95.6135  | 59.8165           |
| 0.0093        | 14.0  | 7644  | 0.2790          | 95.5508  | 59.6330           |
| 0.0065        | 15.0  | 8190  | 0.2735          | 95.7764  | 60.3670           |
| 0.0069        | 16.0  | 8736  | 0.2867          | 95.8641  | 61.8349           |
| 0.005         | 17.0  | 9282  | 0.2903          | 95.8892  | 60.9174           |
| 0.0041        | 18.0  | 9828  | 0.2934          | 95.9519  | 61.4679           |
| 0.0027        | 19.0  | 10374 | 0.3040          | 95.9017  | 61.2844           |
| 0.0031        | 20.0  | 10920 | 0.3044          | 95.9393  | 61.1009           |
| 0.0026        | 21.0  | 11466 | 0.2994          | 95.9895  | 61.1009           |
| 0.0016        | 22.0  | 12012 | 0.3033          | 95.9769  | 61.1009           |
| 0.0012        | 23.0  | 12558 | 0.3034          | 96.0271  | 60.9174           |
| 0.0011        | 24.0  | 13104 | 0.3028          | 96.0271  | 61.2844           |
| 0.0012        | 25.0  | 13650 | 0.3048          | 96.0396  | 60.7339           |


### Framework versions

- Transformers 4.57.3
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2