End of training

README.md

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+---
+library_name: transformers
+language:
+- sd
+base_model: Bhuvana/t5-base-spellchecker
+tags:
+- generated_from_trainer
+datasets:
+- allenai/madlad-400
+model-index:
+- name: T5 Sindhi Spell Checker - Fahad Maqsood Qazi
+  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. -->
+
+# T5 Sindhi Spell Checker - Fahad Maqsood Qazi
+
+This model is a fine-tuned version of [Bhuvana/t5-base-spellchecker](https://huggingface.co/Bhuvana/t5-base-spellchecker) on the MadLad 400 dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.0169
+- eval_rouge1: 23.0373
+- eval_rouge2: 18.6848
+- eval_rougeL: 23.0844
+- eval_rougeLsum: 23.1065
+- eval_gen_len: 16.9753
+- eval_runtime: 75.0358
+- eval_samples_per_second: 39.981
+- eval_steps_per_second: 0.493
+- epoch: 0.2210
+- step: 16000
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 82
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 30000
+- mixed_precision_training: Native AMP
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

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+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.1"
+}

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