End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: t5-base-mrpc
+  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-base-mrpc
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4484
+- Accuracy: 0.8064
+- F1: 0.8724
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 115  | 0.5770          | 0.7083   | 0.8232 |
+| No log        | 2.0   | 230  | 0.5076          | 0.7279   | 0.8295 |
+| No log        | 3.0   | 345  | 0.4870          | 0.7672   | 0.8523 |
+| No log        | 4.0   | 460  | 0.4481          | 0.8039   | 0.8706 |
+| 0.5245        | 5.0   | 575  | 0.4484          | 0.8064   | 0.8724 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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