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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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- p-tuning |
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- generated_from_trainer |
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model-index: |
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- name: train_codealpacapy_42_1760664611 |
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results: [] |
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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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# train_codealpacapy_42_1760664611 |
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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 the codealpacapy dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6779 |
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- Num Input Tokens Seen: 24887720 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
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| 0.4991 | 1.0 | 1908 | 0.4799 | 1243048 | |
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| 0.3548 | 2.0 | 3816 | 0.4697 | 2489456 | |
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| 0.4295 | 3.0 | 5724 | 0.4684 | 3733736 | |
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| 0.515 | 4.0 | 7632 | 0.4609 | 4976128 | |
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| 0.5856 | 5.0 | 9540 | 0.4563 | 6219592 | |
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| 0.5946 | 6.0 | 11448 | 0.4549 | 7467968 | |
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| 0.4937 | 7.0 | 13356 | 0.4562 | 8709168 | |
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| 0.4793 | 8.0 | 15264 | 0.4539 | 9958360 | |
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| 0.4566 | 9.0 | 17172 | 0.4536 | 11204000 | |
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| 0.4859 | 10.0 | 19080 | 0.4540 | 12446408 | |
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| 0.3744 | 11.0 | 20988 | 0.4555 | 13691904 | |
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| 0.4353 | 12.0 | 22896 | 0.4597 | 14937216 | |
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| 0.5904 | 13.0 | 24804 | 0.4587 | 16179624 | |
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| 0.3804 | 14.0 | 26712 | 0.4592 | 17425368 | |
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| 0.3276 | 15.0 | 28620 | 0.4626 | 18668536 | |
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| 0.458 | 16.0 | 30528 | 0.4635 | 19916008 | |
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| 0.2553 | 17.0 | 32436 | 0.4646 | 21158120 | |
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| 0.4614 | 18.0 | 34344 | 0.4666 | 22400368 | |
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| 0.402 | 19.0 | 36252 | 0.4667 | 23645440 | |
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| 0.301 | 20.0 | 38160 | 0.4669 | 24887720 | |
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### Framework versions |
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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 |
