Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Vrushali/model-t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vrushali/model-t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Vrushali/model-t5") model = AutoModelForSeq2SeqLM.from_pretrained("Vrushali/model-t5") - Notebooks
- Google Colab
- Kaggle
update model card README.md
Browse files
README.md
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# model-t5
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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| Training Loss | Epoch | Step | Validation Loss |
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| No log | 1.0 | 38 | 0.
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| No log | 2.0 | 76 | 0.
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| No log | 3.0 | 114 | 0.
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| No log | 4.0 | 152 | 0.
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| No log | 5.0 | 190 | 0.
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| No log | 6.0 | 228 | 0.0000 |
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| No log | 7.0 | 266 | 0.0000 |
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| No log | 8.0 | 304 | 0.0000 |
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# model-t5
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This model is a fine-tuned version of [Vrushali/model-t5](https://huggingface.co/Vrushali/model-t5) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0000
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 38 | 0.0016 |
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| No log | 2.0 | 76 | 0.0000 |
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| No log | 3.0 | 114 | 0.0000 |
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| No log | 4.0 | 152 | 0.0000 |
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| No log | 5.0 | 190 | 0.0000 |
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| No log | 6.0 | 228 | 0.0000 |
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| No log | 7.0 | 266 | 0.0000 |
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| No log | 8.0 | 304 | 0.0000 |
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