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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_22jan_5i_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_5i_v1
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: 0.0219
## 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: 6
- eval_batch_size: 6
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 11
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3647 | 1.0 | 5010 | 0.0825 |
| 0.0693 | 2.0 | 10020 | 0.0517 |
| 0.0228 | 3.0 | 15030 | 0.0656 |
| 0.0288 | 4.0 | 20040 | 0.0327 |
| 0.0387 | 5.0 | 25050 | 0.0448 |
| 0.0171 | 6.0 | 30060 | 0.0207 |
| 0.0136 | 7.0 | 35070 | 0.0163 |
| 0.0059 | 8.0 | 40080 | 0.0200 |
| 0.0062 | 9.0 | 45090 | 0.0243 |
| 0.0002 | 10.0 | 50100 | 0.0233 |
| 0.002 | 11.0 | 55110 | 0.0219 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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