Instructions to use KM4STfulltext/CSSCI_ABS_roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KM4STfulltext/CSSCI_ABS_roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="KM4STfulltext/CSSCI_ABS_roberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("KM4STfulltext/CSSCI_ABS_roberta") model = AutoModelForMaskedLM.from_pretrained("KM4STfulltext/CSSCI_ABS_roberta") - Notebooks
- Google Colab
- Kaggle
Delete all_results.json
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all_results.json
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"epoch": 3.0,
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"eval_loss": 0.5860289931297302,
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"eval_runtime": 230.9553,
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"eval_samples": 14683,
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"eval_samples_per_second": 63.575,
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"eval_steps_per_second": 3.975,
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"perplexity": 1.7968389696504186,
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"train_loss": 0.7085280003033105,
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"train_runtime": 180307.3408,
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"train_samples": 1453570,
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"train_samples_per_second": 24.185,
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"train_steps_per_second": 1.512
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