End of training

README.md

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+---
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+model-index:
+- name: bert-base-uncased-rte-epochs-10-lr-1e-05
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: rte
+      split: train
+      args: rte
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.74
+---
+
+<!-- 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. -->
+
+# bert-base-uncased-rte-epochs-10-lr-1e-05
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6968
+- Accuracy: 0.74
+
+## 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: 1e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 28
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.06
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 75   | 0.6999          | 0.44     |
+| No log        | 2.0   | 150  | 0.6216          | 0.69     |
+| No log        | 3.0   | 225  | 0.5941          | 0.69     |
+| No log        | 4.0   | 300  | 0.5779          | 0.74     |
+| No log        | 5.0   | 375  | 0.5871          | 0.73     |
+| No log        | 6.0   | 450  | 0.6203          | 0.76     |
+| 0.5133        | 7.0   | 525  | 0.6944          | 0.76     |
+| 0.5133        | 8.0   | 600  | 0.6647          | 0.75     |
+| 0.5133        | 9.0   | 675  | 0.6803          | 0.78     |
+| 0.5133        | 10.0  | 750  | 0.6968          | 0.74     |
+
+
+### Framework versions
+
+- Transformers 4.32.0.dev0
+- Pytorch 2.0.1
+- Datasets 2.14.4
+- Tokenizers 0.13.3

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