Instructions to use aidn/squadBert3Epochs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aidn/squadBert3Epochs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="aidn/squadBert3Epochs")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("aidn/squadBert3Epochs") model = AutoModelForQuestionAnswering.from_pretrained("aidn/squadBert3Epochs") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 2
Browse files
README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 1.1031
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- Epoch:
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## Model description
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.8730
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- Validation Loss: 1.1031
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- Epoch: 2
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## Model description
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|:----------:|:---------------:|:-----:|
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| 1.5485 | 1.1485 | 0 |
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| 0.9929 | 1.1031 | 1 |
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| 0.8730 | 1.1031 | 2 |
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### Framework versions
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