End of training

README.md

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+---
+license: other
+library_name: peft
+tags:
+- generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
+base_model: facebook/opt-350m
+model-index:
+- name: opt-350m-pattern-based_finetuning_with_lora-mnli-d1_fs1
+  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-350m-pattern-based_finetuning_with_lora-mnli-d1_fs1
+
+This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9471
+- Accuracy: 0.5081
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7591        | 1.0   | 1    | 0.9473          | 0.5079   |
+| 0.9819        | 2.0   | 2    | 0.9471          | 0.5081   |
+| 0.801         | 3.0   | 3    | 0.9470          | 0.5081   |
+| 0.7828        | 4.0   | 4    | 0.9469          | 0.5078   |
+| 0.9364        | 5.0   | 5    | 0.9469          | 0.5079   |
+
+
+### Framework versions
+
+- PEFT 0.7.1.dev0
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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