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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: rap_phase2_26march_4i
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_26march_4i
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: 0.0292
## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3901 | 1.0 | 4056 | 0.1670 |
| 0.1095 | 2.0 | 8112 | 0.0996 |
| 0.0734 | 3.0 | 12168 | 0.0628 |
| 0.2175 | 4.0 | 16224 | 0.2520 |
| 0.022 | 5.0 | 20280 | 0.0460 |
| 0.0139 | 6.0 | 24336 | 0.0371 |
| 0.0121 | 7.0 | 28392 | 0.0321 |
| 0.0144 | 8.0 | 32448 | 0.0348 |
| 0.0041 | 9.0 | 36504 | 0.0283 |
| 0.0013 | 10.0 | 40560 | 0.0327 |
| 0.0 | 11.0 | 44616 | 0.0292 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.1+cu118
- Datasets 2.16.1
- Tokenizers 0.15.0
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