Instructions to use asfafagf45/MyAwesomeModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asfafagf45/MyAwesomeModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asfafagf45/MyAwesomeModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asfafagf45/MyAwesomeModel") model = AutoModel.from_pretrained("asfafagf45/MyAwesomeModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Best checkpoint (step_1000) - eval_accuracy=0.710, w/ all 15 benchmark scores
Browse files
README.md
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@@ -43,11 +43,11 @@ Beyond its improved reasoning capabilities, this version also offers a reduced h
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| | Common Sense | 0.716 | 0.702 | 0.725 | 0.736 |
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| **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | 0.700 |
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| 45 |
| | Question Answering | 0.582 | 0.599 | 0.601 | 0.607 |
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| | Text Classification | 0.803 | 0.811 | 0.820 |
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| | Sentiment Analysis | 0.777 | 0.781 | 0.790 | 0.792 |
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| **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.640 |
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| | Creative Writing | 0.588 | 0.579 | 0.601 | 0.610 |
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| | Dialogue Generation | 0.621 | 0.635 | 0.639 |
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| | Summarization | 0.745 | 0.755 | 0.760 | 0.767 |
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| **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | 0.804 |
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| 53 |
| | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | 0.676 |
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| 43 |
| | Common Sense | 0.716 | 0.702 | 0.725 | 0.736 |
|
| 44 |
| **Language Understanding** | Reading Comprehension | 0.671 | 0.685 | 0.690 | 0.700 |
|
| 45 |
| | Question Answering | 0.582 | 0.599 | 0.601 | 0.607 |
|
| 46 |
+
| | Text Classification | 0.803 | 0.811 | 0.820 | 0.828 |
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| 47 |
| | Sentiment Analysis | 0.777 | 0.781 | 0.790 | 0.792 |
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| 48 |
+
| **Generation Tasks** | Code Generation | 0.615 | 0.631 | 0.640 | 0.650 |
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| 49 |
| | Creative Writing | 0.588 | 0.579 | 0.601 | 0.610 |
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| 50 |
+
| | Dialogue Generation | 0.621 | 0.635 | 0.639 | 0.644 |
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| 51 |
| | Summarization | 0.745 | 0.755 | 0.760 | 0.767 |
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| 52 |
| **Specialized Capabilities**| Translation | 0.782 | 0.799 | 0.801 | 0.804 |
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| 53 |
| | Knowledge Retrieval | 0.651 | 0.668 | 0.670 | 0.676 |
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