Instructions to use boronbrown48/topic_otherTopics_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boronbrown48/topic_otherTopics_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="boronbrown48/topic_otherTopics_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("boronbrown48/topic_otherTopics_v1") model = AutoModelForSequenceClassification.from_pretrained("boronbrown48/topic_otherTopics_v1") - Notebooks
- Google Colab
- Kaggle
Commit ·
a0c8a34
1
Parent(s): 944f568
Create eval.txt
Browse files
eval.txt
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{'epoch': 10.0,
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'eval_accuracy': 0.8648648648648649,
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'eval_f1-macro': 0.8479260659234252,
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'eval_loss': 0.6377009153366089,
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'eval_precision': 0.8511620662800669,
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'eval_recall': 0.8483209323623302,
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'eval_runtime': 2.0808,
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'eval_samples_per_second': 462.322,
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'eval_steps_per_second': 58.151}
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