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xlm-roberta-base_lr2e-05_seed42_esp-hau-eng_train
shanhy/xlm-roberta-base_lr2e-05_seed42_esp-hau-eng_train
xlm-roberta-base_lr2e-05_seed42_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
- e6f15092
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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_lr2e-05_seed42_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: 0.0290
- Spearman Corr: 0.7140
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 | 0.48 | 200 | 0.0350 | 0.6836 |
| No log | 0.97 | 400 | 0.0246 | 0.6988 |
| No log | 1.45 | 600 | 0.0248 | 0.7110 |
| No log | 1.94 | 800 | 0.0274 | 0.7272 |
| 0.0359 | 2.42 | 1000 | 0.0280 | 0.7254 |
| 0.0359 | 2.91 | 1200 | 0.0241 | 0.7265 |
| 0.0359 | 3.39 | 1400 | 0.0278 | 0.7404 |
| 0.0359 | 3.88 | 1600 | 0.0248 | 0.7257 |
| 0.0216 | 4.36 | 1800 | 0.0300 | 0.7207 |
| 0.0216 | 4.85 | 2000 | 0.0274 | 0.7372 |
| 0.0216 | 5.33 | 2200 | 0.0278 | 0.7274 |
| 0.0216 | 5.82 | 2400 | 0.0320 | 0.7318 |
| 0.0147 | 6.3 | 2600 | 0.0271 | 0.7281 |
| 0.0147 | 6.79 | 2800 | 0.0339 | 0.7223 |
| 0.0147 | 7.27 | 3000 | 0.0341 | 0.7200 |
| 0.0147 | 7.76 | 3200 | 0.0290 | 0.7140 |
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 15, 2024
- Updated
- Feb 15, 2024