Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use csb05/Flan-T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use csb05/Flan-T5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("csb05/Flan-T5") model = AutoModelForSeq2SeqLM.from_pretrained("csb05/Flan-T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
README.md
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 5.
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- Rouge2: 1.
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- Rougel: 4.
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- Rougelsum: 4.
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- Gen Len: 15.7143
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 0.0 | 0.9905 | 26 | nan | 5.
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### Framework versions
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Rouge1: 5.6994
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- Rouge2: 1.2179
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- Rougel: 4.4822
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- Rougelsum: 4.5267
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- Gen Len: 15.7143
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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| 0.0 | 0.9905 | 26 | nan | 5.6994 | 1.2179 | 4.4822 | 4.5267 | 15.7143 |
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### Framework versions
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