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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: llama3
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ tags:
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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: train_copa_1757340278
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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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+ # train_copa_1757340278
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0484
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+ - Num Input Tokens Seen: 281312
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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: 4
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+ - seed: 101112
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 10.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
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+ | 0.2006 | 0.5 | 45 | 0.1967 | 14144 |
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+ | 0.3225 | 1.0 | 90 | 0.0856 | 28192 |
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+ | 0.4327 | 1.5 | 135 | 0.0478 | 42208 |
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+ | 0.0202 | 2.0 | 180 | 0.0775 | 56256 |
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+ | 0.1742 | 2.5 | 225 | 0.0552 | 70368 |
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+ | 0.0049 | 3.0 | 270 | 0.0273 | 84320 |
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+ | 0.0011 | 3.5 | 315 | 0.0583 | 98400 |
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+ | 0.0018 | 4.0 | 360 | 0.0332 | 112416 |
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+ | 0.0013 | 4.5 | 405 | 0.0406 | 126496 |
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+ | 0.0002 | 5.0 | 450 | 0.0364 | 140544 |
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+ | 0.0001 | 5.5 | 495 | 0.0473 | 154592 |
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+ | 0.0001 | 6.0 | 540 | 0.0446 | 168768 |
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+ | 0.0001 | 6.5 | 585 | 0.0423 | 182848 |
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+ | 0.0 | 7.0 | 630 | 0.0465 | 196896 |
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+ | 0.0 | 7.5 | 675 | 0.0435 | 210912 |
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+ | 0.0 | 8.0 | 720 | 0.0428 | 225024 |
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+ | 0.0 | 8.5 | 765 | 0.0453 | 239200 |
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+ | 0.0 | 9.0 | 810 | 0.0443 | 253152 |
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+ | 0.0 | 9.5 | 855 | 0.0495 | 267040 |
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+ | 0.0 | 10.0 | 900 | 0.0484 | 281312 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.51.3
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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