End of training

README.md

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+---
+license: apache-2.0
+base_model: t5-base
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+model-index:
+- name: t5-base_cola_dense_epochs-6_exp_size_4
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: cola
+      split: validation
+      args: cola
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8235858101629914
+---
+
+<!-- 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_cola_dense_epochs-6_exp_size_4
+
+This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4622
+- Accuracy: 0.8236
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 0
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5883        | 0.19  | 50   | 0.5895          | 0.6913   |
+| 0.4961        | 0.37  | 100  | 0.5788          | 0.7574   |
+| 0.5036        | 0.56  | 150  | 0.5192          | 0.7891   |
+| 0.4038        | 0.75  | 200  | 0.4774          | 0.8025   |
+| 0.4461        | 0.93  | 250  | 0.5380          | 0.7929   |
+| 0.3573        | 1.12  | 300  | 0.5382          | 0.8169   |
+| 0.3508        | 1.31  | 350  | 0.4526          | 0.8255   |
+| 0.3379        | 1.49  | 400  | 0.4777          | 0.8245   |
+| 0.3964        | 1.68  | 450  | 0.5148          | 0.8178   |
+| 0.4137        | 1.87  | 500  | 0.4622          | 0.8236   |
+| 0.3036        | 2.05  | 550  | 0.5171          | 0.8236   |
+| 0.2913        | 2.24  | 600  | 0.5269          | 0.8322   |
+| 0.277         | 2.43  | 650  | 0.5298          | 0.8293   |
+| 0.2431        | 2.61  | 700  | 0.5129          | 0.8313   |
+| 0.3551        | 2.8   | 750  | 0.5396          | 0.8255   |
+| 0.2697        | 2.99  | 800  | 0.5307          | 0.8293   |
+| 0.2494        | 3.17  | 850  | 0.5549          | 0.8332   |
+| 0.2734        | 3.36  | 900  | 0.5431          | 0.8255   |
+| 0.2886        | 3.54  | 950  | 0.5412          | 0.8245   |
+| 0.3155        | 3.73  | 1000 | 0.5409          | 0.8284   |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.14.1

pytorch_model.bin

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