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End of training

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README.md ADDED
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+ ---
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+ license: other
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - glue
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+ metrics:
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+ - accuracy
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+ base_model: facebook/opt-350m
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+ model-index:
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+ - name: opt-350m-pattern-based_finetuning_with_lora-mnli-d3_fs1
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # opt-350m-pattern-based_finetuning_with_lora-mnli-d3_fs1
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+
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+ This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.9416
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+ - Accuracy: 0.5111
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-06
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.7137 | 1.0 | 1 | 0.9416 | 0.5111 |
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+ | 1.6946 | 2.0 | 2 | 0.9412 | 0.5105 |
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+ | 1.8481 | 3.0 | 3 | 0.9408 | 0.5099 |
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+ | 2.0282 | 4.0 | 4 | 0.9406 | 0.5099 |
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+ | 1.6491 | 5.0 | 5 | 0.9405 | 0.5100 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.7.1.dev0
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+ - Transformers 4.36.0.dev0
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+ - Pytorch 2.1.0+cu118
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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