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---
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base_eng_loss_0.0001
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. -->
# xlm-roberta-base_eng_loss_0.0001
This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0465
- Spearman Corr: nan
## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Spearman Corr |
|:-------------:|:-----:|:----:|:---------------:|:-------------:|
| No log | 1.33 | 200 | 0.0465 | nan |
| 0.0469 | 2.66 | 400 | 0.0466 | nan |
| 0.0471 | 3.99 | 600 | 0.0467 | nan |
| 0.0471 | 5.32 | 800 | 0.0462 | nan |
| 0.0471 | 6.64 | 1000 | 0.0462 | nan |
| 0.0471 | 7.97 | 1200 | 0.0463 | nan |
| 0.0471 | 9.3 | 1400 | 0.0476 | nan |
| 0.047 | 10.63 | 1600 | 0.0461 | nan |
| 0.0469 | 11.96 | 1800 | 0.0468 | nan |
| 0.0469 | 13.29 | 2000 | 0.0464 | 0.0242 |
| 0.047 | 14.62 | 2200 | 0.0471 | -0.0375 |
| 0.0467 | 15.95 | 2400 | 0.0465 | nan |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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