End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: t5-large-snli-model3
+  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-large-snli-model3
+
+This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2242
+- Accuracy: 0.9267
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 71
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2808        | 1.0   | 4292  | 0.2214          | 0.9246   |
+| 0.2491        | 2.0   | 8584  | 0.2190          | 0.9259   |
+| 0.2213        | 3.0   | 12876 | 0.2242          | 0.9267   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0