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train_sst2_42_1760637619

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_sst2_42_1760637619
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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_sst2_42_1760637619
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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: 0.0583
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+ - Num Input Tokens Seen: 67768656
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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: 0.03
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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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+ | 0.0821 | 1.0 | 15154 | 0.0582 | 3383904 |
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+ | 0.0287 | 2.0 | 30308 | 0.0607 | 6774480 |
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+ | 0.0186 | 3.0 | 45462 | 0.0540 | 10163152 |
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+ | 0.1246 | 4.0 | 60616 | 0.0548 | 13552544 |
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+ | 0.1157 | 5.0 | 75770 | 0.0559 | 16941120 |
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+ | 0.0868 | 6.0 | 90924 | 0.0529 | 20331520 |
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+ | 0.0091 | 7.0 | 106078 | 0.0571 | 23721840 |
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+ | 0.0196 | 8.0 | 121232 | 0.0531 | 27111168 |
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+ | 0.1583 | 9.0 | 136386 | 0.0556 | 30498912 |
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+ | 0.0875 | 10.0 | 151540 | 0.0558 | 33886240 |
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+ | 0.0289 | 11.0 | 166694 | 0.0551 | 37277536 |
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+ | 0.0117 | 12.0 | 181848 | 0.0564 | 40664576 |
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+ | 0.0429 | 13.0 | 197002 | 0.0587 | 44053792 |
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+ | 0.0602 | 14.0 | 212156 | 0.0566 | 47441984 |
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+ | 0.0387 | 15.0 | 227310 | 0.0597 | 50830480 |
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+ | 0.007 | 16.0 | 242464 | 0.0581 | 54215696 |
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+ | 0.0078 | 17.0 | 257618 | 0.0583 | 57603296 |
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+ | 0.014 | 18.0 | 272772 | 0.0583 | 60987568 |
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+ | 0.0139 | 19.0 | 287926 | 0.0583 | 64378192 |
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+ | 0.0131 | 20.0 | 303080 | 0.0583 | 67768656 |
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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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