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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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+ - base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
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+ - llama-factory
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+ - lora
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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: train_mrpc_789_1760637907
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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_mrpc_789_1760637907
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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: 0.4785
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+ - Num Input Tokens Seen: 6772448
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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: 789
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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: 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 | Input Tokens Seen |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
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+ | 0.2472 | 1.0 | 826 | 0.1276 | 338792 |
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+ | 0.1582 | 2.0 | 1652 | 0.1494 | 677792 |
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+ | 0.0767 | 3.0 | 2478 | 0.1058 | 1016968 |
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+ | 0.0471 | 4.0 | 3304 | 0.1575 | 1355576 |
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+ | 0.0004 | 5.0 | 4130 | 0.1653 | 1694240 |
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+ | 0.0004 | 6.0 | 4956 | 0.1864 | 2032216 |
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+ | 0.0003 | 7.0 | 5782 | 0.2497 | 2370752 |
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+ | 0.0001 | 8.0 | 6608 | 0.2246 | 2708952 |
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+ | 0.0 | 9.0 | 7434 | 0.3029 | 3047656 |
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+ | 0.0002 | 10.0 | 8260 | 0.2518 | 3386008 |
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+ | 0.0 | 11.0 | 9086 | 0.2672 | 3724536 |
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+ | 0.0981 | 12.0 | 9912 | 0.3259 | 4063536 |
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+ | 0.0 | 13.0 | 10738 | 0.3472 | 4402704 |
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+ | 0.0 | 14.0 | 11564 | 0.4299 | 4740960 |
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+ | 0.0 | 15.0 | 12390 | 0.4163 | 5078920 |
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+ | 0.0 | 16.0 | 13216 | 0.4223 | 5417832 |
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+ | 0.0 | 17.0 | 14042 | 0.4581 | 5755672 |
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+ | 0.0 | 18.0 | 14868 | 0.4689 | 6094000 |
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+ | 0.0 | 19.0 | 15694 | 0.4748 | 6433272 |
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+ | 0.0 | 20.0 | 16520 | 0.4785 | 6772448 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.17.1
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+ - Transformers 4.51.3
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+ - Pytorch 2.9.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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