Transformers
PyTorch
English
language-model
graph-attention
adaptive-depth
temporal-decay
efficient-llm
Eval Results (legacy)
Instructions to use vigneshwar234/TemporalMesh-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vigneshwar234/TemporalMesh-Transformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vigneshwar234/TemporalMesh-Transformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add results.yml for Papers With Code / HF leaderboard integration
Browse files- results.yml +40 -0
results.yml
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results:
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- task:
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type: Language Modelling
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name: Language Modelling
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dataset:
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name: WikiText-2
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type: wikitext-2
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config: wikitext-2-raw-v1
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split: test
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metrics:
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- type: Perplexity
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value: 29.4
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name: Perplexity
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verified: false
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- task:
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type: Language Modelling
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name: Language Modelling
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dataset:
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name: WikiText-103
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type: wikitext-103
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config: wikitext-103-raw-v1
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split: test
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metrics:
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- type: Perplexity
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value: 36.1
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name: Perplexity
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verified: false
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- task:
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type: Long-context Language Modelling
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name: Long-context LM
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dataset:
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name: LongBench
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type: longbench
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split: test
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metrics:
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- type: Average Score
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value: 53.4
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name: Average Score
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verified: false
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