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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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- prompt-tuning |
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- generated_from_trainer |
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model-index: |
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- name: train_boolq_123_1762589801 |
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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_123_1762589801 |
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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: 0.3213 |
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- Num Input Tokens Seen: 42678144 |
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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: 0.03 |
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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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| 0.2872 | 1.0 | 2121 | 0.3391 | 2131904 | |
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| 0.3153 | 2.0 | 4242 | 0.3294 | 4264768 | |
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| 0.3251 | 3.0 | 6363 | 0.3346 | 6404896 | |
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| 0.3535 | 4.0 | 8484 | 0.3308 | 8537088 | |
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| 0.3267 | 5.0 | 10605 | 0.3278 | 10677088 | |
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| 0.3159 | 6.0 | 12726 | 0.3298 | 12814080 | |
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| 0.2604 | 7.0 | 14847 | 0.3271 | 14950432 | |
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| 0.3271 | 8.0 | 16968 | 0.3267 | 17082336 | |
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| 0.3257 | 9.0 | 19089 | 0.3424 | 19211360 | |
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| 0.3441 | 10.0 | 21210 | 0.3264 | 21342336 | |
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| 0.3417 | 11.0 | 23331 | 0.3277 | 23472352 | |
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| 0.3086 | 12.0 | 25452 | 0.3271 | 25602144 | |
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| 0.3027 | 13.0 | 27573 | 0.3251 | 27739072 | |
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| 0.3239 | 14.0 | 29694 | 0.3250 | 29880544 | |
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| 0.3697 | 15.0 | 31815 | 0.3236 | 32013760 | |
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| 0.3328 | 16.0 | 33936 | 0.3237 | 34138272 | |
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| 0.3275 | 17.0 | 36057 | 0.3222 | 36269152 | |
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| 0.3746 | 18.0 | 38178 | 0.3221 | 38408800 | |
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| 0.339 | 19.0 | 40299 | 0.3219 | 40541312 | |
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| 0.2792 | 20.0 | 42420 | 0.3213 | 42678144 | |
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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 |
