Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+datasets:
+- wi_locness
+model-index:
+- name: sentence-correction-t5-base-enhanced
+  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. -->
+
+# sentence-correction-t5-base-enhanced
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the wi_locness dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5051
+
+## 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: 8
+- 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 375  | 1.5925          |
+| 1.9297        | 2.0   | 750  | 1.5209          |
+| 1.5387        | 3.0   | 1125 | 1.5051          |
+
+
+### 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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+{
+  "_from_model_config": true,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.47.1"
+}