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xlm-roberta-base_seed42_kin-amh-eng_train
shanhy/xlm-roberta-base_seed42_kin-amh-eng_train
xlm-roberta-base_seed42_kin-amh-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 4, 2024
- Updated
- Feb 4, 2024
- SHA
- 34b76031
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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_kin-amh-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: 0.0238
- Spearman Corr: 0.7304
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 | 0.65 | 200 | 0.0317 | 0.6509 |
| No log | 1.3 | 400 | 0.0274 | 0.6622 |
| No log | 1.95 | 600 | 0.0229 | 0.7053 |
| 0.0349 | 2.61 | 800 | 0.0231 | 0.7102 |
| 0.0349 | 3.26 | 1000 | 0.0322 | 0.7146 |
| 0.0349 | 3.91 | 1200 | 0.0238 | 0.7314 |
| 0.023 | 4.56 | 1400 | 0.0239 | 0.7306 |
| 0.023 | 5.21 | 1600 | 0.0222 | 0.7266 |
| 0.023 | 5.86 | 1800 | 0.0243 | 0.7333 |
| 0.0171 | 6.51 | 2000 | 0.0221 | 0.7301 |
| 0.0171 | 7.17 | 2200 | 0.0267 | 0.7340 |
| 0.0171 | 7.82 | 2400 | 0.0235 | 0.7323 |
| 0.013 | 8.47 | 2600 | 0.0259 | 0.7300 |
| 0.013 | 9.12 | 2800 | 0.0230 | 0.7273 |
| 0.013 | 9.77 | 3000 | 0.0250 | 0.7354 |
| 0.0099 | 10.42 | 3200 | 0.0238 | 0.7304 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Feb 4, 2024
- Updated
- Feb 4, 2024