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train_hellaswag_42_1760637629

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_hellaswag_42_1760637629
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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_hellaswag_42_1760637629
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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: 0.0772
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+ - Num Input Tokens Seen: 218263888
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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: 42
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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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+ | 0.1113 | 1.0 | 8979 | 0.1684 | 10917120 |
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+ | 0.1152 | 2.0 | 17958 | 0.1126 | 21836032 |
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+ | 0.0899 | 3.0 | 26937 | 0.0936 | 32746560 |
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+ | 0.0937 | 4.0 | 35916 | 0.0841 | 43661424 |
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+ | 0.1188 | 5.0 | 44895 | 0.0806 | 54578912 |
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+ | 0.0533 | 6.0 | 53874 | 0.0765 | 65488016 |
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+ | 0.1069 | 7.0 | 62853 | 0.0745 | 76410304 |
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+ | 0.033 | 8.0 | 71832 | 0.0738 | 87327296 |
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+ | 0.0927 | 9.0 | 80811 | 0.0726 | 98229232 |
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+ | 0.0786 | 10.0 | 89790 | 0.0734 | 109127968 |
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+ | 0.0082 | 11.0 | 98769 | 0.0738 | 120042688 |
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+ | 0.1095 | 12.0 | 107748 | 0.0750 | 130954720 |
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+ | 0.1746 | 13.0 | 116727 | 0.0731 | 141874656 |
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+ | 0.0093 | 14.0 | 125706 | 0.0746 | 152783392 |
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+ | 0.0103 | 15.0 | 134685 | 0.0773 | 163694096 |
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+ | 0.0435 | 16.0 | 143664 | 0.0763 | 174604544 |
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+ | 0.0049 | 17.0 | 152643 | 0.0771 | 185523328 |
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+ | 0.0213 | 18.0 | 161622 | 0.0772 | 196433472 |
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+ | 0.0049 | 19.0 | 170601 | 0.0775 | 207345200 |
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+ | 0.0021 | 20.0 | 179580 | 0.0772 | 218263888 |
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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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