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---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: e3_lr2e-05
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. -->
# e3_lr2e-05
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6436
## 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: 16
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 2.9961 | 0.1404 | 100 | 1.9416 |
| 2.0472 | 0.2808 | 200 | 1.8589 |
| 1.9766 | 0.4212 | 300 | 1.8095 |
| 1.9319 | 0.5616 | 400 | 1.7736 |
| 1.897 | 0.7021 | 500 | 1.7447 |
| 1.8743 | 0.8425 | 600 | 1.7370 |
| 1.86 | 0.9829 | 700 | 1.7156 |
| 1.8431 | 1.1233 | 800 | 1.7071 |
| 1.8217 | 1.2637 | 900 | 1.6939 |
| 1.8212 | 1.4041 | 1000 | 1.6900 |
| 1.8053 | 1.5445 | 1100 | 1.6774 |
| 1.7899 | 1.6849 | 1200 | 1.6736 |
| 1.799 | 1.8254 | 1300 | 1.6644 |
| 1.7845 | 1.9658 | 1400 | 1.6559 |
| 1.7704 | 2.1062 | 1500 | 1.6531 |
| 1.776 | 2.2466 | 1600 | 1.6528 |
| 1.773 | 2.3870 | 1700 | 1.6417 |
| 1.7632 | 2.5274 | 1800 | 1.6452 |
| 1.7451 | 2.6678 | 1900 | 1.6460 |
| 1.7505 | 2.8088 | 2000 | 1.6455 |
| 1.7602 | 2.9492 | 2100 | 1.6399 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
|