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train_stsb_101112_1760638041

Text Generation
PEFT
Safetensors
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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_stsb_101112_1760638041
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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_stsb_101112_1760638041
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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: 0.4631
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+ - Num Input Tokens Seen: 8712528
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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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+ | 1.3293 | 1.0 | 1294 | 1.0926 | 434624 |
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+ | 0.5139 | 2.0 | 2588 | 0.6458 | 869056 |
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+ | 0.4608 | 3.0 | 3882 | 0.5673 | 1304160 |
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+ | 0.584 | 4.0 | 5176 | 0.5370 | 1740416 |
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+ | 0.3868 | 5.0 | 6470 | 0.5146 | 2175568 |
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+ | 0.4999 | 6.0 | 7764 | 0.5019 | 2611168 |
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+ | 0.4161 | 7.0 | 9058 | 0.4916 | 3047200 |
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+ | 0.522 | 8.0 | 10352 | 0.4850 | 3482720 |
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+ | 0.464 | 9.0 | 11646 | 0.4782 | 3918416 |
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+ | 0.5449 | 10.0 | 12940 | 0.4738 | 4355072 |
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+ | 0.62 | 11.0 | 14234 | 0.4719 | 4790336 |
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+ | 0.5518 | 12.0 | 15528 | 0.4678 | 5227040 |
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+ | 0.4453 | 13.0 | 16822 | 0.4661 | 5662848 |
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+ | 0.4771 | 14.0 | 18116 | 0.4656 | 6099600 |
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+ | 0.5392 | 15.0 | 19410 | 0.4644 | 6534256 |
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+ | 0.4023 | 16.0 | 20704 | 0.4643 | 6968992 |
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+ | 0.3908 | 17.0 | 21998 | 0.4630 | 7405040 |
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+ | 0.5031 | 18.0 | 23292 | 0.4620 | 7840784 |
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+ | 0.3964 | 19.0 | 24586 | 0.4628 | 8276160 |
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+ | 0.5761 | 20.0 | 25880 | 0.4631 | 8712528 |
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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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