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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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+ base_model: facebook/opt-350m
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+ model-index:
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+ - name: opt-350m_lora_lr5e-05_bs4_epoch20_wd0.01
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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_lora_lr5e-05_bs4_epoch20_wd0.01
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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 an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.4727
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.9876 | 1.0 | 157 | 3.5158 |
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+ | 3.5297 | 2.0 | 314 | 3.3975 |
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+ | 3.4496 | 3.0 | 471 | 3.3883 |
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+ | 3.3995 | 4.0 | 628 | 3.4068 |
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+ | 3.3628 | 5.0 | 785 | 3.3689 |
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+ | 3.3427 | 6.0 | 942 | 3.3728 |
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+ | 3.2946 | 7.0 | 1099 | 3.3866 |
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+ | 3.2283 | 8.0 | 1256 | 3.3931 |
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+ | 3.2879 | 9.0 | 1413 | 3.4072 |
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+ | 3.2 | 10.0 | 1570 | 3.4101 |
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+ | 3.1534 | 11.0 | 1727 | 3.4101 |
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+ | 3.0953 | 12.0 | 1884 | 3.4056 |
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+ | 3.0796 | 13.0 | 2041 | 3.4390 |
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+ | 3.0633 | 14.0 | 2198 | 3.4448 |
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+ | 3.0459 | 15.0 | 2355 | 3.4703 |
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+ | 2.9913 | 16.0 | 2512 | 3.4583 |
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+ | 2.9959 | 17.0 | 2669 | 3.4659 |
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+ | 2.9862 | 18.0 | 2826 | 3.4684 |
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+ | 3.0424 | 19.0 | 2983 | 3.4734 |
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+ | 2.9691 | 20.0 | 3140 | 3.4727 |
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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
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+ - Transformers 4.36.2
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+ - Pytorch 2.0.1
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.0
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