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---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: xmlRoBert-Balanced-trimmed-10epoch-Trainer
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. -->
# xmlRoBert-Balanced-trimmed-10epoch-Trainer
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: 1.1137
- Accuracy: 0.3125
## 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: 10
- eval_batch_size: 10
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 3 | 1.1523 | 0.25 |
| No log | 2.0 | 6 | 1.1465 | 0.25 |
| No log | 3.0 | 9 | 1.1425 | 0.25 |
| No log | 4.0 | 12 | 1.1316 | 0.25 |
| No log | 5.0 | 15 | 1.1158 | 0.25 |
| No log | 6.0 | 18 | 1.1335 | 0.375 |
| No log | 7.0 | 21 | 1.1214 | 0.25 |
| No log | 8.0 | 24 | 1.1198 | 0.25 |
| No log | 9.0 | 27 | 1.1155 | 0.25 |
| No log | 10.0 | 30 | 1.1137 | 0.3125 |
### Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1
- Datasets 2.14.5
- Tokenizers 0.14.1
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