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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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- prefix-tuning |
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- generated_from_trainer |
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model-index: |
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- name: train_codealpacapy_42_1760623957 |
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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_1760623957 |
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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: 0.5999 |
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- Num Input Tokens Seen: 22157104 |
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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: 1e-05 |
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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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| 0.5247 | 2.0 | 3392 | 0.5012 | 2222792 | |
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| 0.6073 | 4.0 | 6784 | 0.4833 | 4435584 | |
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| 0.4532 | 6.0 | 10176 | 0.4830 | 6643816 | |
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| 0.4371 | 8.0 | 13568 | 0.4921 | 8867608 | |
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| 0.3561 | 10.0 | 16960 | 0.5087 | 11077216 | |
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| 0.4704 | 12.0 | 20352 | 0.5304 | 13294344 | |
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| 0.3772 | 14.0 | 23744 | 0.5604 | 15504440 | |
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| 0.4784 | 16.0 | 27136 | 0.5757 | 17721880 | |
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| 0.3258 | 18.0 | 30528 | 0.5942 | 19940536 | |
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| 0.3676 | 20.0 | 33920 | 0.5999 | 22157104 | |
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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 |
