File size: 2,062 Bytes
ca79d23 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 | ---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: ToxicClassification2.0
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. -->
# ToxicClassification2.0
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7477
- Accuracy: 0.8677
## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4987 | 1.0 | 970 | 0.3175 | 0.8598 |
| 0.3342 | 2.0 | 1940 | 0.3325 | 0.8692 |
| 0.2808 | 3.0 | 2910 | 0.3273 | 0.8675 |
| 0.2514 | 4.0 | 3880 | 0.3878 | 0.8652 |
| 0.2075 | 5.0 | 4850 | 0.4068 | 0.8611 |
| 0.1887 | 6.0 | 5820 | 0.5277 | 0.8692 |
| 0.1641 | 7.0 | 6790 | 0.6208 | 0.8662 |
| 0.1419 | 8.0 | 7760 | 0.6979 | 0.8698 |
| 0.1150 | 9.0 | 8730 | 0.7489 | 0.8673 |
| 0.1005 | 10.0 | 9700 | 0.7477 | 0.8677 |
### Framework versions
- Transformers 5.13.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
|