Transformers
TensorFlow
TensorBoard
Safetensors
t5
text2text-generation
generated_from_keras_callback
text-generation-inference
Instructions to use Ayon128/T5_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayon128/T5_Model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayon128/T5_Model") model = AutoModelForSeq2SeqLM.from_pretrained("Ayon128/T5_Model") - Notebooks
- Google Colab
- Kaggle
Training in progress epoch 4
Browse files- README.md +4 -3
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) 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: 0.
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- Epoch:
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## Model description
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| 1.3374 | 0.5028 | 1 |
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### Framework versions
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This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.3866
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- Validation Loss: 0.1928
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- Epoch: 4
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## Model description
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| 1.3374 | 0.5028 | 1 |
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| 0.7359 | 0.2955 | 2 |
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| 0.4892 | 0.2174 | 3 |
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| 0.3866 | 0.1928 | 4 |
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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size 1188285040
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version https://git-lfs.github.com/spec/v1
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size 1188285040
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