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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_06dec_25i
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_06dec_25i
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: 0.0018
## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 0.1123 | 1.0 | 16013 | 0.0465 |
| 0.034 | 2.0 | 32026 | 0.0903 |
| 0.3904 | 3.0 | 48039 | 0.1142 |
| 0.0287 | 4.0 | 64052 | 0.0197 |
| 0.0148 | 5.0 | 80065 | 0.0266 |
| 0.0035 | 6.0 | 96078 | 0.0026 |
| 0.0 | 7.0 | 112091 | 0.0021 |
| 0.0 | 8.0 | 128104 | 0.0014 |
| 0.0 | 9.0 | 144117 | 0.0014 |
| 0.0001 | 10.0 | 160130 | 0.0018 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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