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train_codealpacapy_1754507520

PEFT
Safetensors
llama-factory
lora
Generated from Trainer
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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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+ - llama-factory
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+ - generated_from_trainer
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+ model-index:
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+ - name: train_codealpacapy_1754507520
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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_codealpacapy_1754507520
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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: 0.6786
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+ - Num Input Tokens Seen: 12472912
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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: 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: 10.0
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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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+ | 0.4542 | 0.5 | 954 | 0.4947 | 616992 |
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+ | 0.581 | 1.0 | 1908 | 0.4810 | 1248304 |
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+ | 0.4509 | 1.5 | 2862 | 0.4745 | 1877040 |
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+ | 0.4172 | 2.0 | 3816 | 0.4662 | 2497016 |
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+ | 0.5189 | 2.5 | 4770 | 0.4698 | 3129368 |
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+ | 0.3859 | 3.0 | 5724 | 0.4691 | 3742552 |
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+ | 0.3728 | 3.5 | 6678 | 0.4796 | 4361944 |
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+ | 0.3182 | 4.0 | 7632 | 0.4808 | 4985200 |
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+ | 0.3908 | 4.5 | 8586 | 0.4979 | 5611760 |
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+ | 0.3861 | 5.0 | 9540 | 0.5026 | 6233920 |
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+ | 0.3046 | 5.5 | 10494 | 0.5369 | 6849184 |
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+ | 0.3087 | 6.0 | 11448 | 0.5363 | 7478504 |
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+ | 0.1964 | 6.5 | 12402 | 0.5860 | 8083560 |
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+ | 0.2524 | 7.0 | 13356 | 0.5758 | 8722744 |
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+ | 0.1868 | 7.5 | 14310 | 0.6237 | 9345976 |
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+ | 0.5188 | 8.0 | 15264 | 0.6234 | 9977520 |
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+ | 0.1183 | 8.5 | 16218 | 0.6655 | 10604656 |
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+ | 0.2188 | 9.0 | 17172 | 0.6605 | 11225416 |
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+ | 0.152 | 9.5 | 18126 | 0.6764 | 11845704 |
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+ | 0.277 | 10.0 | 19080 | 0.6786 | 12472912 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.15.2
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+ - Transformers 4.51.3
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 3.6.0
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+ - Tokenizers 0.21.1
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