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library_name: transformers
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: test_model
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. -->
# test_model
This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1449
- F1: 0.0
- Roc Auc: 0.5
- Accuracy: 0.8976
## 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: 0.001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 | F1 | Roc Auc | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:---:|:-------:|:--------:|
| 0.1509 | 1.0 | 3491 | 0.1449 | 0.0 | 0.5 | 0.8976 |
| 0.1472 | 2.0 | 6982 | 0.1478 | 0.0 | 0.5 | 0.8976 |
| 0.1454 | 3.0 | 10473 | 0.1532 | 0.0 | 0.5 | 0.8976 |
| 0.144 | 4.0 | 13964 | 0.1457 | 0.0 | 0.5 | 0.8976 |
| 0.1463 | 5.0 | 17455 | 0.1441 | 0.0 | 0.5 | 0.8976 |
| 0.1427 | 6.0 | 20946 | 0.1463 | 0.0 | 0.5 | 0.8976 |
| 0.1423 | 7.0 | 24437 | 0.1419 | 0.0 | 0.5 | 0.8976 |
| 0.143 | 8.0 | 27928 | 0.1428 | 0.0 | 0.5 | 0.8976 |
| 0.1417 | 9.0 | 31419 | 0.1434 | 0.0 | 0.5 | 0.8976 |
| 0.1485 | 10.0 | 34910 | 0.1443 | 0.0 | 0.5 | 0.8976 |
| 0.142 | 11.0 | 38401 | 0.1455 | 0.0 | 0.5 | 0.8976 |
| 0.1402 | 12.0 | 41892 | 0.1464 | 0.0 | 0.5 | 0.8976 |
| 0.1417 | 13.0 | 45383 | 0.1423 | 0.0 | 0.5 | 0.8976 |
| 0.1452 | 14.0 | 48874 | 0.1450 | 0.0 | 0.5 | 0.8976 |
| 0.1455 | 15.0 | 52365 | 0.1423 | 0.0 | 0.5 | 0.8976 |
| 0.1355 | 16.0 | 55856 | 0.1422 | 0.0 | 0.5 | 0.8976 |
| 0.1369 | 17.0 | 59347 | 0.1431 | 0.0 | 0.5 | 0.8976 |
| 0.1416 | 18.0 | 62838 | 0.1436 | 0.0 | 0.5 | 0.8976 |
| 0.1387 | 19.0 | 66329 | 0.1418 | 0.0 | 0.5 | 0.8976 |
| 0.143 | 20.0 | 69820 | 0.1416 | 0.0 | 0.5 | 0.8976 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu124
- Datasets 3.1.0
- Tokenizers 0.20.3
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