Instructions to use EndLessTime/fine_tuned_per_domain_balanced_32B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EndLessTime/fine_tuned_per_domain_balanced_32B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="EndLessTime/fine_tuned_per_domain_balanced_32B")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_32B") model = AutoModelForSequenceClassification.from_pretrained("EndLessTime/fine_tuned_per_domain_balanced_32B") - Notebooks
- Google Colab
- Kaggle
Arihant Tripathi commited on
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README.md
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 0.7717 | 0.0029 | 500 | 1.4951 | 0.8335 |
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| 0.6914 | 0.0057 | 1000 | 0.6914 | 0.2820 |
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| 0.6914 | 0.0086 | 1500 | 0.6914 | 0.2820 |
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| 0.6914 | 0.0114 | 2000 | 0.6914 | 0.2820 |
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| 0.6914 | 0.0143 | 2500 | 0.6914 | 0.2820 |
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### Framework versions
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- Transformers 4.49.0
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Framework versions
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- Transformers 4.49.0
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