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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_22jan_8i_v1
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_22jan_8i_v1
This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0041
## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1006 | 1.0 | 12024 | 0.0713 |
| 0.026 | 2.0 | 24048 | 0.0370 |
| 0.0404 | 3.0 | 36072 | 0.0359 |
| 0.0288 | 4.0 | 48096 | 0.0100 |
| 0.0131 | 5.0 | 60120 | 0.0152 |
| 0.0181 | 6.0 | 72144 | 0.0067 |
| 0.0156 | 7.0 | 84168 | 0.0031 |
| 0.0 | 8.0 | 96192 | 0.0038 |
| 0.0 | 9.0 | 108216 | 0.0043 |
| 0.0006 | 10.0 | 120240 | 0.0041 |
### Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
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