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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_11dec_10i_v2
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. -->
# rap_phase2_11dec_10i_v2
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0084
## 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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.1857 | 1.0 | 4851 | 0.1083 |
| 0.0995 | 2.0 | 9702 | 0.0634 |
| 0.0712 | 3.0 | 14553 | 0.0371 |
| 0.0417 | 4.0 | 19404 | 0.0304 |
| 0.0203 | 5.0 | 24255 | 0.0206 |
| 0.0096 | 6.0 | 29106 | 0.0126 |
| 0.0165 | 7.0 | 33957 | 0.0128 |
| 0.0 | 8.0 | 38808 | 0.0141 |
| 0.0092 | 9.0 | 43659 | 0.0179 |
| 0.0005 | 10.0 | 48510 | 0.0084 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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