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End of training
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README.md
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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-125m
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model-index:
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- name: opt-125m-pattern-based_finetuning_with_lora-mnli-mm-d1_fs1
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results: []
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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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# opt-125m-pattern-based_finetuning_with_lora-mnli-mm-d1_fs1
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This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the glue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8131
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- Accuracy: 0.5099
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.7162 | 1.0 | 1 | 0.8138 | 0.5095 |
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| 0.6794 | 2.0 | 2 | 0.8134 | 0.5096 |
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| 0.6433 | 3.0 | 3 | 0.8132 | 0.5096 |
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| 0.6299 | 4.0 | 4 | 0.8131 | 0.5099 |
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| 0.6748 | 5.0 | 5 | 0.8130 | 0.5099 |
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### Framework versions
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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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 2372216
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version https://git-lfs.github.com/spec/v1
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size 2372216
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runs/Dec09_23-21-17_ea4b281b211c/events.out.tfevents.1702164273.ea4b281b211c.281.4
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version https://git-lfs.github.com/spec/v1
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size 405
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