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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_123_1762496345 |
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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_123_1762496345 |
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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: 0.6313 |
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- Num Input Tokens Seen: 22139032 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:-----:|:-----:|:---------------:|:-----------------:| |
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| 0.6065 | 2.0 | 3392 | 0.5241 | 2216560 | |
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| 0.4471 | 4.0 | 6784 | 0.5017 | 4419816 | |
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| 0.5516 | 6.0 | 10176 | 0.5020 | 6632800 | |
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| 0.3557 | 8.0 | 13568 | 0.5099 | 8848168 | |
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| 0.4427 | 10.0 | 16960 | 0.5294 | 11063280 | |
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| 0.4077 | 12.0 | 20352 | 0.5488 | 13281912 | |
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| 0.2964 | 14.0 | 23744 | 0.5795 | 15500632 | |
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| 0.3286 | 16.0 | 27136 | 0.6075 | 17712104 | |
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| 0.3527 | 18.0 | 30528 | 0.6274 | 19926608 | |
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| 0.2493 | 20.0 | 33920 | 0.6313 | 22139032 | |
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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 |
