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README.md

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----
-library_name: transformers
-license: apache-2.0
-base_model: google/mt5-small
-tags:
-- generated_from_trainer
-model-index:
-- name: sylheti-t5
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# sylheti-t5
-
-This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 15.8909
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 16
-- eval_batch_size: 16
-- seed: 42
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 10
-
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 20.1502       | 6.6667 | 100  | 15.8909         |
-
-
-### Framework versions
-
-- Transformers 4.51.3
-- Pytorch 2.6.0+cu124
-- Datasets 3.5.1
-- Tokenizers 0.21.1