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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_MODEL2_15march_10i
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_MODEL2_15march_10i
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: 0.0000
## 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: 3
- eval_batch_size: 3
- 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7443 | 1.0 | 1170 | 0.3416 |
| 1.439 | 2.0 | 2340 | 0.1891 |
| 0.2797 | 3.0 | 3510 | 0.1757 |
| 0.1032 | 4.0 | 4680 | 0.0050 |
| 0.0382 | 5.0 | 5850 | 0.0017 |
| 0.31 | 6.0 | 7020 | 0.1315 |
| 0.2989 | 7.0 | 8190 | 0.1042 |
| 0.501 | 8.0 | 9360 | 0.0052 |
| 0.0674 | 9.0 | 10530 | 0.0005 |
| 0.062 | 10.0 | 11700 | 0.0000 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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