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xlm-roberta-base_seed42_original_esp-hau-eng_train
shanhy/xlm-roberta-base_seed42_original_esp-hau-eng_train
xlm-roberta-base_seed42_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 15, 2024
- Updated
- Feb 15, 2024
- SHA
- d9017296
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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_seed42_original_esp-hau-eng_train
This model is a fine-tuned version of FacebookAI/xlm-roberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0254
- Spearman Corr: 0.7775
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: 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 | 1.61 | 200 | 0.0219 | 0.7701 |
| 0.0403 | 3.23 | 400 | 0.0201 | 0.7865 |
| 0.0242 | 4.84 | 600 | 0.0209 | 0.7970 |
| 0.0183 | 6.45 | 800 | 0.0198 | 0.7932 |
| 0.0144 | 8.06 | 1000 | 0.0225 | 0.7858 |
| 0.0144 | 9.68 | 1200 | 0.0248 | 0.7853 |
| 0.0115 | 11.29 | 1400 | 0.0227 | 0.7843 |
| 0.0091 | 12.9 | 1600 | 0.0244 | 0.7801 |
| 0.0073 | 14.52 | 1800 | 0.0243 | 0.7803 |
| 0.0063 | 16.13 | 2000 | 0.0241 | 0.7811 |
| 0.0063 | 17.74 | 2200 | 0.0240 | 0.7780 |
| 0.0055 | 19.35 | 2400 | 0.0254 | 0.7775 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 15, 2024
- Updated
- Feb 15, 2024