Model save

README.md

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+---
+license: mit
+base_model: kennethge123/superglue_rte-gpt2
+tags:
+- generated_from_trainer
+datasets:
+- bigbench
+metrics:
+- accuracy
+model-index:
+- name: entailed_after_rte-gpt2
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: bigbench
+      type: bigbench
+      config: entailed_polarity
+      split: validation
+      args: entailed_polarity
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7142857142857143
+---
+
+<!-- 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. -->
+
+# entailed_after_rte-gpt2
+
+This model is a fine-tuned version of [kennethge123/superglue_rte-gpt2](https://huggingface.co/kennethge123/superglue_rte-gpt2) on the bigbench dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1865
+- Accuracy: 0.7143
+
+## 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: 4
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 30   | 0.9025          | 0.3571   |
+| No log        | 2.0   | 60   | 0.7155          | 0.5      |
+| No log        | 3.0   | 90   | 1.0014          | 0.2857   |
+| No log        | 4.0   | 120  | 0.9748          | 0.5714   |
+| No log        | 5.0   | 150  | 0.9511          | 0.5714   |
+| No log        | 6.0   | 180  | 1.0164          | 0.6429   |
+| No log        | 7.0   | 210  | 1.6015          | 0.5      |
+| No log        | 8.0   | 240  | 1.2833          | 0.6429   |
+| No log        | 9.0   | 270  | 1.0093          | 0.7857   |
+| No log        | 10.0  | 300  | 1.6339          | 0.6429   |
+| No log        | 11.0  | 330  | 1.3461          | 0.5714   |
+| No log        | 12.0  | 360  | 1.2949          | 0.6429   |
+| No log        | 13.0  | 390  | 1.6343          | 0.6429   |
+| No log        | 14.0  | 420  | 0.8418          | 0.8571   |
+| No log        | 15.0  | 450  | 0.6750          | 0.8571   |
+| No log        | 16.0  | 480  | 2.0221          | 0.6429   |
+| 0.5929        | 17.0  | 510  | 0.7579          | 0.8571   |
+| 0.5929        | 18.0  | 540  | 1.5713          | 0.7143   |
+| 0.5929        | 19.0  | 570  | 1.0489          | 0.7143   |
+| 0.5929        | 20.0  | 600  | 1.1865          | 0.7143   |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 1.13.1+cu117
+- Datasets 2.15.0
+- Tokenizers 0.15.2

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