Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use KingTechnician/roberta-base_Climate_Native with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KingTechnician/roberta-base_Climate_Native with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KingTechnician/roberta-base_Climate_Native")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KingTechnician/roberta-base_Climate_Native") model = AutoModelForSequenceClassification.from_pretrained("KingTechnician/roberta-base_Climate_Native", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +11 -11
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README.md
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.
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- Accuracy: 0.2237
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- Macro Precision: 0.
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- Macro F1: 0.
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## Model description
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| No log | 2.0 | 108 | 2.4069 | 0.2055 | 0.0897 | 0.1130 |
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| No log | 3.0 | 162 | 2.3152 | 0.1963 | 0.1934 | 0.1428 |
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| No log | 4.0 | 216 | 2.3128 | 0.2055 | 0.1677 | 0.1483 |
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| No log | 5.0 | 270 | 2.
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| No log | 6.0 | 324 | 2.
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| No log | 7.0 | 378 | 2.
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| No log | 8.0 | 432 | 2.3831 | 0.2100 | 0.
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| No log | 9.0 | 486 | 2.
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### Framework versions
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This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.4963
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- Accuracy: 0.2237
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- Macro Precision: 0.1864
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- Macro F1: 0.1782
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## Model description
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| No log | 2.0 | 108 | 2.4069 | 0.2055 | 0.0897 | 0.1130 |
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| No log | 3.0 | 162 | 2.3152 | 0.1963 | 0.1934 | 0.1428 |
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| No log | 4.0 | 216 | 2.3128 | 0.2055 | 0.1677 | 0.1483 |
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| No log | 5.0 | 270 | 2.3046 | 0.1963 | 0.2270 | 0.1593 |
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| No log | 6.0 | 324 | 2.3584 | 0.1735 | 0.2232 | 0.1464 |
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| No log | 7.0 | 378 | 2.3716 | 0.2055 | 0.2044 | 0.1734 |
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| No log | 8.0 | 432 | 2.3831 | 0.2100 | 0.2004 | 0.1828 |
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| No log | 9.0 | 486 | 2.4299 | 0.1963 | 0.1999 | 0.1720 |
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| 1.7557 | 10.0 | 540 | 2.4529 | 0.2100 | 0.1972 | 0.1666 |
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| 1.7557 | 11.0 | 594 | 2.4833 | 0.2192 | 0.1914 | 0.1764 |
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| 1.7557 | 12.0 | 648 | 2.4963 | 0.2237 | 0.1864 | 0.1782 |
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### Framework versions
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model.safetensors
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