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xlm-roberta-base_lr0.0001_seed42_basic_original_esp-hau-eng_train
shanhy/xlm-roberta-base_lr0.0001_seed42_basic_original_esp-hau-eng_train
xlm-roberta-base_lr0.0001_seed42_basic_original_esp-hau-eng_train is a text classification model from shanhy. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024
- SHA
- a5d3fc51
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Base models
Model card
From the Hugging Face model README
<!-- 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_lr0.0001_seed42_basic_original_esp-hau-eng_train
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0382
- Spearman Corr: 0.5403
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 | 1.45 | 200 | 0.0446 | 0.0681 |
| 0.0622 | 2.91 | 400 | 0.0538 | nan |
| 0.0586 | 4.36 | 600 | 0.0468 | -0.0637 |
| 0.0586 | 5.82 | 800 | 0.0450 | -0.0228 |
| 0.0578 | 7.27 | 1000 | 0.0468 | nan |
| 0.0569 | 8.73 | 1200 | 0.0437 | 0.1100 |
| 0.0538 | 10.18 | 1400 | 0.0431 | 0.2566 |
| 0.0538 | 11.64 | 1600 | 0.0465 | nan |
| 0.0539 | 13.09 | 1800 | 0.0447 | 0.0202 |
| 0.0558 | 14.55 | 2000 | 0.0463 | 0.1008 |
| 0.0561 | 16.0 | 2200 | 0.0456 | nan |
| 0.0561 | 17.45 | 2400 | 0.0448 | 0.0437 |
| 0.0552 | 18.91 | 2600 | 0.0473 | 0.0297 |
| 0.0512 | 20.36 | 2800 | 0.0522 | 0.1850 |
| 0.0512 | 21.82 | 3000 | 0.0379 | 0.4856 |
| 0.0401 | 23.27 | 3200 | 0.0401 | 0.4589 |
| 0.0315 | 24.73 | 3400 | 0.0396 | 0.4645 |
| 0.0277 | 26.18 | 3600 | 0.0387 | 0.4813 |
| 0.0277 | 27.64 | 3800 | 0.0376 | 0.5494 |
| 0.0258 | 29.09 | 4000 | 0.0382 | 0.5403 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 16, 2024
- Updated
- Feb 16, 2024