---
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: 0.2729
- Accuracy: 95.5104
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sentence accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|
| 1.0799        | 1.0   | 546  | 0.3960          | 90.8605  | 37.6147           |
| 0.3583        | 2.0   | 1092 | 0.2930          | 93.3725  | 51.9266           |
| 0.2307        | 3.0   | 1638 | 0.2578          | 94.1742  | 54.3119           |
| 0.1588        | 4.0   | 2184 | 0.2583          | 94.2945  | 52.8440           |
| 0.1141        | 5.0   | 2730 | 0.2439          | 94.8557  | 56.5138           |
| 0.0831        | 6.0   | 3276 | 0.2520          | 95.2031  | 59.2661           |
| 0.0614        | 7.0   | 3822 | 0.2659          | 95.2699  | 58.7156           |
| 0.0433        | 8.0   | 4368 | 0.2624          | 95.3234  | 58.8991           |
| 0.0315        | 9.0   | 4914 | 0.2714          | 95.5772  | 61.4679           |
| 0.0245        | 10.0  | 5460 | 0.2729          | 95.5104  | 60.7339           |


### Framework versions

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