Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use phunganhsang/Revision_Meta_XLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phunganhsang/Revision_Meta_XLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="phunganhsang/Revision_Meta_XLM", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("phunganhsang/Revision_Meta_XLM") model = AutoModelForSequenceClassification.from_pretrained("phunganhsang/Revision_Meta_XLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +42 -0
- model.safetensors +1 -1
README.md
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base_model: FacebookAI/xlm-roberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: Revision_Meta_XLM
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results: []
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# Revision_Meta_XLM
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Framework versions
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- Transformers 5.3.0
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base_model: FacebookAI/xlm-roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: Revision_Meta_XLM
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results: []
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# Revision_Meta_XLM
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This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4710
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- Accuracy: 0.9220
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- F1: 0.7251
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 15
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|
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| No log | 0.5102 | 150 | 0.3977 | 0.8526 | 0.4695 |
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| 0.5230 | 1.0204 | 300 | 0.2417 | 0.9188 | 0.7149 |
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| 0.5230 | 1.5306 | 450 | 0.2309 | 0.9220 | 0.7111 |
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| 0.2723 | 2.0408 | 600 | 0.2386 | 0.9180 | 0.7130 |
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| 0.2723 | 2.5510 | 750 | 0.2537 | 0.9259 | 0.7229 |
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| 0.2107 | 3.0612 | 900 | 0.2225 | 0.9354 | 0.7547 |
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| 0.2107 | 3.5714 | 1050 | 0.2462 | 0.9330 | 0.7376 |
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| 0.1682 | 4.0816 | 1200 | 0.3432 | 0.9117 | 0.7101 |
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| 0.1682 | 4.5918 | 1350 | 0.2572 | 0.9267 | 0.7195 |
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| 0.1499 | 5.1020 | 1500 | 0.3172 | 0.9243 | 0.7344 |
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| 0.1499 | 5.6122 | 1650 | 0.3080 | 0.9212 | 0.7206 |
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| 0.1219 | 6.1224 | 1800 | 0.3767 | 0.9133 | 0.6921 |
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| 0.1219 | 6.6327 | 1950 | 0.4346 | 0.9039 | 0.7024 |
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| 0.1055 | 7.1429 | 2100 | 0.3059 | 0.9338 | 0.7309 |
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| 0.1055 | 7.6531 | 2250 | 0.3716 | 0.9236 | 0.7237 |
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| 0.0786 | 8.1633 | 2400 | 0.4106 | 0.9188 | 0.7174 |
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| 0.0786 | 8.6735 | 2550 | 0.4007 | 0.9228 | 0.7250 |
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| 0.0673 | 9.1837 | 2700 | 0.4195 | 0.9236 | 0.7309 |
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| 0.0673 | 9.6939 | 2850 | 0.4486 | 0.9149 | 0.7102 |
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| 0.0589 | 10.2041 | 3000 | 0.5117 | 0.9078 | 0.6939 |
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| 0.0589 | 10.7143 | 3150 | 0.4755 | 0.9149 | 0.7154 |
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| 0.0494 | 11.2245 | 3300 | 0.4287 | 0.9204 | 0.7198 |
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| 0.0494 | 11.7347 | 3450 | 0.3905 | 0.9314 | 0.7322 |
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| 0.0426 | 12.2449 | 3600 | 0.4332 | 0.9243 | 0.7333 |
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| 0.0426 | 12.7551 | 3750 | 0.4228 | 0.9307 | 0.7385 |
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| 0.0339 | 13.2653 | 3900 | 0.4589 | 0.9275 | 0.7380 |
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| 0.0339 | 13.7755 | 4050 | 0.5148 | 0.9141 | 0.7128 |
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| 0.0272 | 14.2857 | 4200 | 0.4624 | 0.9236 | 0.7273 |
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| 0.0272 | 14.7959 | 4350 | 0.4710 | 0.9220 | 0.7251 |
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### Framework versions
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- Transformers 5.3.0
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model.safetensors
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