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train_cb_123_1760637638

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_cb_123_1760637638
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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_cb_123_1760637638
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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: 0.0999
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+ - Num Input Tokens Seen: 742296
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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: 123
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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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+ | 0.7941 | 1.0 | 57 | 5.3791 | 37160 |
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+ | 0.2777 | 2.0 | 114 | 0.4515 | 73720 |
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+ | 0.1865 | 3.0 | 171 | 0.1773 | 110296 |
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+ | 0.2287 | 4.0 | 228 | 0.2263 | 147784 |
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+ | 0.2082 | 5.0 | 285 | 0.1402 | 184368 |
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+ | 0.2529 | 6.0 | 342 | 0.1531 | 221536 |
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+ | 0.0837 | 7.0 | 399 | 0.1571 | 258720 |
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+ | 0.1676 | 8.0 | 456 | 0.1298 | 295408 |
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+ | 0.205 | 9.0 | 513 | 0.1373 | 332648 |
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+ | 0.2853 | 10.0 | 570 | 0.1247 | 369976 |
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+ | 0.106 | 11.0 | 627 | 0.1205 | 406840 |
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+ | 0.1006 | 12.0 | 684 | 0.0834 | 444728 |
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+ | 0.1631 | 13.0 | 741 | 0.1492 | 481720 |
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+ | 0.1947 | 14.0 | 798 | 0.1688 | 518664 |
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+ | 0.0517 | 15.0 | 855 | 0.0892 | 555728 |
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+ | 0.036 | 16.0 | 912 | 0.1012 | 593096 |
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+ | 0.0262 | 17.0 | 969 | 0.1146 | 629760 |
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+ | 0.0158 | 18.0 | 1026 | 0.1004 | 667432 |
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+ | 0.0446 | 19.0 | 1083 | 0.0991 | 704816 |
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+ | 0.0233 | 20.0 | 1140 | 0.0999 | 742296 |
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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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