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train_stsb_101112_1760638038

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_stsb_101112_1760638038
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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_1760638038
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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: 0.5618
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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: 0.001
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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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+ | 0.7815 | 1.0 | 1294 | 0.6249 | 434624 |
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+ | 0.4025 | 2.0 | 2588 | 0.5137 | 869056 |
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+ | 0.3955 | 3.0 | 3882 | 0.4564 | 1304160 |
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+ | 0.4456 | 4.0 | 5176 | 0.4475 | 1740416 |
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+ | 0.3391 | 5.0 | 6470 | 0.4580 | 2175568 |
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+ | 0.4272 | 6.0 | 7764 | 0.4402 | 2611168 |
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+ | 0.3837 | 7.0 | 9058 | 0.4400 | 3047200 |
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+ | 0.4752 | 8.0 | 10352 | 0.4363 | 3482720 |
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+ | 0.3787 | 9.0 | 11646 | 0.4365 | 3918416 |
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+ | 0.4897 | 10.0 | 12940 | 0.4465 | 4355072 |
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+ | 0.4996 | 11.0 | 14234 | 0.4438 | 4790336 |
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+ | 0.3837 | 12.0 | 15528 | 0.4662 | 5227040 |
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+ | 0.3313 | 13.0 | 16822 | 0.4599 | 5662848 |
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+ | 0.3999 | 14.0 | 18116 | 0.4828 | 6099600 |
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+ | 0.2922 | 15.0 | 19410 | 0.4877 | 6534256 |
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+ | 0.2866 | 16.0 | 20704 | 0.5080 | 6968992 |
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+ | 0.2577 | 17.0 | 21998 | 0.5373 | 7405040 |
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+ | 0.2791 | 18.0 | 23292 | 0.5483 | 7840784 |
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+ | 0.2941 | 19.0 | 24586 | 0.5602 | 8276160 |
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+ | 0.4091 | 20.0 | 25880 | 0.5618 | 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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