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train_math_qa_101112_1760638065

Text Generation
PEFT
Safetensors
Transformers
llama-factory
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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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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: train_math_qa_101112_1760638065
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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_math_qa_101112_1760638065
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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: 1.0976
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+ - Num Input Tokens Seen: 77914328
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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: 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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+ | 1.0458 | 1.0 | 6714 | 1.1599 | 3894384 |
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+ | 0.9912 | 2.0 | 13428 | 1.1152 | 7788792 |
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+ | 1.4319 | 3.0 | 20142 | 1.1035 | 11683344 |
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+ | 1.1822 | 4.0 | 26856 | 1.0999 | 15578064 |
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+ | 1.7636 | 5.0 | 33570 | 1.1016 | 19479304 |
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+ | 1.138 | 6.0 | 40284 | 1.1009 | 23378352 |
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+ | 0.7847 | 7.0 | 46998 | 1.0980 | 27274568 |
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+ | 1.0809 | 8.0 | 53712 | 1.1029 | 31172664 |
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+ | 0.8975 | 9.0 | 60426 | 1.1025 | 35068368 |
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+ | 1.5046 | 10.0 | 67140 | 1.1038 | 38966392 |
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+ | 1.0965 | 11.0 | 73854 | 1.0945 | 42861936 |
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+ | 1.0183 | 12.0 | 80568 | 1.0959 | 46756048 |
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+ | 0.7437 | 13.0 | 87282 | 1.1003 | 50652416 |
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+ | 1.1787 | 14.0 | 93996 | 1.0963 | 54546936 |
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+ | 0.884 | 15.0 | 100710 | 1.0990 | 58442960 |
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+ | 1.5105 | 16.0 | 107424 | 1.1018 | 62338944 |
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+ | 0.9218 | 17.0 | 114138 | 1.0976 | 66231336 |
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+ | 0.9596 | 18.0 | 120852 | 1.0976 | 70127040 |
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+ | 0.9612 | 19.0 | 127566 | 1.0976 | 74021072 |
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+ | 0.799 | 20.0 | 134280 | 1.0976 | 77914328 |
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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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