End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: t5-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: t5-small-qnli
+  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-small-qnli
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3319
+- Accuracy: 0.8977
+
+## 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: 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3933        | 1.0   | 13093 | 0.3401          | 0.8688   |
+| 0.3351        | 2.0   | 26186 | 0.3176          | 0.8860   |
+| 0.33          | 3.0   | 39279 | 0.3006          | 0.8942   |
+| 0.3139        | 4.0   | 52372 | 0.3319          | 0.8977   |
+| 0.3038        | 5.0   | 65465 | 0.3330          | 0.8973   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

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runs/Oct31_16-11-51_840b237ec799/events.out.tfevents.1730396014.840b237ec799.30.1

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