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train_codealpacapy_42_1760638811

PEFT
Safetensors
llama-factory
prompt-tuning
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_42_1760638811
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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_42_1760638811
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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: 0.5052
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+ - Num Input Tokens Seen: 24887720
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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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+ | 0.4965 | 1.0 | 1908 | 0.4692 | 1243048 |
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+ | 0.3516 | 2.0 | 3816 | 0.4636 | 2489456 |
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+ | 0.4189 | 3.0 | 5724 | 0.4576 | 3733736 |
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+ | 0.5105 | 4.0 | 7632 | 0.4567 | 4976128 |
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+ | 0.5727 | 5.0 | 9540 | 0.4546 | 6219592 |
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+ | 0.5876 | 6.0 | 11448 | 0.4546 | 7467968 |
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+ | 0.4743 | 7.0 | 13356 | 0.4541 | 8709168 |
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+ | 0.4622 | 8.0 | 15264 | 0.4543 | 9958360 |
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+ | 0.4449 | 9.0 | 17172 | 0.4557 | 11204000 |
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+ | 0.4562 | 10.0 | 19080 | 0.4582 | 12446408 |
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+ | 0.3546 | 11.0 | 20988 | 0.4627 | 13691904 |
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+ | 0.3935 | 12.0 | 22896 | 0.4697 | 14937216 |
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+ | 0.5209 | 13.0 | 24804 | 0.4720 | 16179624 |
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+ | 0.3421 | 14.0 | 26712 | 0.4755 | 17425368 |
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+ | 0.2642 | 15.0 | 28620 | 0.4898 | 18668536 |
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+ | 0.3709 | 16.0 | 30528 | 0.4946 | 19916008 |
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+ | 0.1985 | 17.0 | 32436 | 0.5012 | 21158120 |
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+ | 0.3645 | 18.0 | 34344 | 0.5048 | 22400368 |
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+ | 0.3265 | 19.0 | 36252 | 0.5051 | 23645440 |
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+ | 0.2443 | 20.0 | 38160 | 0.5052 | 24887720 |
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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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