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train_hellaswag_101112_1768397614

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_101112_1768397614
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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_101112_1768397614
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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: 0.1593
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+ - Num Input Tokens Seen: 94705056
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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: 2
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+ - eval_batch_size: 2
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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
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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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+ | 0.149 | 0.5000 | 8979 | 0.1659 | 5003904 |
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+ | 0.0163 | 1.0001 | 17958 | 0.1352 | 9966400 |
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+ | 0.0988 | 1.5001 | 26937 | 0.1139 | 14965776 |
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+ | 0.1067 | 2.0001 | 35916 | 0.1075 | 19943248 |
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+ | 0.008 | 2.5001 | 44895 | 0.0981 | 24937840 |
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+ | 0.4668 | 3.0002 | 53874 | 0.0949 | 29909872 |
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+ | 0.044 | 3.5002 | 62853 | 0.1158 | 34899056 |
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+ | 0.0025 | 4.0002 | 71832 | 0.1086 | 39882864 |
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+ | 0.1509 | 4.5003 | 80811 | 0.1226 | 44862576 |
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+ | 0.0003 | 5.0003 | 89790 | 0.1126 | 49857616 |
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+ | 0.0006 | 5.5003 | 98769 | 0.1238 | 54837408 |
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+ | 0.0003 | 6.0003 | 107748 | 0.1152 | 59816976 |
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+ | 0.1426 | 6.5004 | 116727 | 0.1367 | 64800688 |
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+ | 0.0002 | 7.0004 | 125706 | 0.1442 | 69781152 |
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+ | 0.0006 | 7.5004 | 134685 | 0.1508 | 74768336 |
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+ | 0.0001 | 8.0004 | 143664 | 0.1471 | 79748128 |
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+ | 0.0 | 8.5005 | 152643 | 0.1587 | 84740496 |
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+ | 0.1157 | 9.0005 | 161622 | 0.1552 | 89717136 |
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+ | 0.0002 | 9.5005 | 170601 | 0.1593 | 94705056 |
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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 2.9.1+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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