End of training

README.md

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+---
+license: other
+base_model: facebook/opt-1.3b
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: opt-1.3b-snli
+  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. -->
+
+# opt-1.3b-snli
+
+This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3369
+- Accuracy: 0.9144
+
+## 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: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2945        | 1.0   | 4292  | 0.2531          | 0.9113   |
+| 0.1881        | 2.0   | 8584  | 0.2539          | 0.9184   |
+| 0.0893        | 3.0   | 12876 | 0.3369          | 0.9144   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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