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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_boolq_1755555080 |
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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_boolq_1755555080 |
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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 boolq dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3287 |
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- Num Input Tokens Seen: 21342336 |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
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|:-------------:|:------:|:-----:|:---------------:|:-----------------:| |
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| 1.2842 | 0.5002 | 1061 | 1.2705 | 1069568 | |
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| 0.3203 | 1.0005 | 2122 | 0.3713 | 2133248 | |
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| 0.3396 | 1.5007 | 3183 | 0.3413 | 3194016 | |
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| 0.3162 | 2.0009 | 4244 | 0.3389 | 4266592 | |
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| 0.3763 | 2.5012 | 5305 | 0.3402 | 5343200 | |
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| 0.3416 | 3.0014 | 6366 | 0.3455 | 6407840 | |
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| 0.3181 | 3.5017 | 7427 | 0.3338 | 7476544 | |
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| 0.319 | 4.0019 | 8488 | 0.3427 | 8540672 | |
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| 0.3932 | 4.5021 | 9549 | 0.3342 | 9613088 | |
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| 0.3826 | 5.0024 | 10610 | 0.3316 | 10682528 | |
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| 0.3462 | 5.5026 | 11671 | 0.3337 | 11757792 | |
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| 0.3193 | 6.0028 | 12732 | 0.3320 | 12820704 | |
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| 0.3118 | 6.5031 | 13793 | 0.3314 | 13892416 | |
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| 0.2944 | 7.0033 | 14854 | 0.3305 | 14957120 | |
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| 0.3672 | 7.5035 | 15915 | 0.3302 | 16020704 | |
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| 0.2215 | 8.0038 | 16976 | 0.3287 | 17090912 | |
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| 0.3548 | 8.5040 | 18037 | 0.3313 | 18157184 | |
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| 0.3066 | 9.0042 | 19098 | 0.3300 | 19222688 | |
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| 0.3451 | 9.5045 | 20159 | 0.3298 | 20290176 | |
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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 |
