Instructions to use skytree/roberta-base-relu-sst5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use skytree/roberta-base-relu-sst5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="skytree/roberta-base-relu-sst5")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("skytree/roberta-base-relu-sst5") model = AutoModelForSequenceClassification.from_pretrained("skytree/roberta-base-relu-sst5") - Notebooks
- Google Colab
- Kaggle
Upload training_metrics.json
Browse files- training_metrics.json +8 -0
training_metrics.json
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{
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"best_validation_accuracy": 0.5467756584922797,
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"best_test_accuracy": 0.5475113122171946,
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"final_training_loss": 0.9407872749625074,
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"final_validation_loss": 1.1241617526326861,
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"final_test_loss": 1.0414134979248046,
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"epoch": 4
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}
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