End of training

README.md

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+---
+license: mit
+base_model: openai-community/gpt2-large
+tags:
+- generated_from_trainer
+datasets:
+- stanfordnlp/snli
+metrics:
+- accuracy
+model-index:
+- name: gpt2-large-snli-model1
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: snli
+      type: stanfordnlp/snli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9129242023978866
+---
+
+<!-- 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. -->
+
+# gpt2-large-snli-model1
+
+This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large) on the snli dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2951
+- Accuracy: 0.9129
+
+## 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: 11
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3126        | 1.0   | 4292  | 0.2558          | 0.9093   |
+| 0.2258        | 2.0   | 8584  | 0.2555          | 0.9133   |
+| 0.1471        | 3.0   | 12876 | 0.2951          | 0.9129   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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