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--- |
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library_name: peft |
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license: llama3.1 |
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base_model: meta-llama/Llama-3.1-8B-Instruct |
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tags: |
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- llama-factory |
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- lora |
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- generated_from_trainer |
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model-index: |
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- name: Llama-3.1-8B-Instruct-PsyCourse-fold10 |
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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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# Llama-3.1-8B-Instruct-PsyCourse-fold10 |
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This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the course-train-fold10 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0346 |
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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: 0.0001 |
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- train_batch_size: 1 |
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- eval_batch_size: 1 |
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- seed: 42 |
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- gradient_accumulation_steps: 16 |
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- total_train_batch_size: 16 |
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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: 5.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.6238 | 0.0770 | 50 | 0.3911 | |
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| 0.0941 | 0.1539 | 100 | 0.0845 | |
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| 0.087 | 0.2309 | 150 | 0.0577 | |
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| 0.0643 | 0.3078 | 200 | 0.0540 | |
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| 0.0718 | 0.3848 | 250 | 0.0550 | |
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| 0.0561 | 0.4618 | 300 | 0.0480 | |
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| 0.0517 | 0.5387 | 350 | 0.0457 | |
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| 0.0473 | 0.6157 | 400 | 0.0444 | |
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| 0.0486 | 0.6926 | 450 | 0.0480 | |
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| 0.0579 | 0.7696 | 500 | 0.0443 | |
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| 0.0433 | 0.8466 | 550 | 0.0422 | |
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| 0.0464 | 0.9235 | 600 | 0.0384 | |
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| 0.0542 | 1.0005 | 650 | 0.0373 | |
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| 0.0365 | 1.0774 | 700 | 0.0419 | |
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| 0.0303 | 1.1544 | 750 | 0.0383 | |
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| 0.0281 | 1.2314 | 800 | 0.0357 | |
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| 0.0293 | 1.3083 | 850 | 0.0360 | |
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| 0.0408 | 1.3853 | 900 | 0.0362 | |
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| 0.0358 | 1.4622 | 950 | 0.0379 | |
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| 0.0277 | 1.5392 | 1000 | 0.0406 | |
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| 0.0401 | 1.6162 | 1050 | 0.0346 | |
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| 0.0366 | 1.6931 | 1100 | 0.0379 | |
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| 0.0292 | 1.7701 | 1150 | 0.0357 | |
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| 0.0408 | 1.8470 | 1200 | 0.0368 | |
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| 0.0354 | 1.9240 | 1250 | 0.0367 | |
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| 0.0374 | 2.0010 | 1300 | 0.0378 | |
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| 0.0216 | 2.0779 | 1350 | 0.0356 | |
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| 0.0272 | 2.1549 | 1400 | 0.0355 | |
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| 0.0207 | 2.2318 | 1450 | 0.0360 | |
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| 0.0275 | 2.3088 | 1500 | 0.0357 | |
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| 0.0236 | 2.3858 | 1550 | 0.0361 | |
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| 0.0263 | 2.4627 | 1600 | 0.0371 | |
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| 0.0306 | 2.5397 | 1650 | 0.0352 | |
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| 0.0264 | 2.6166 | 1700 | 0.0349 | |
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| 0.0192 | 2.6936 | 1750 | 0.0347 | |
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| 0.0239 | 2.7706 | 1800 | 0.0359 | |
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| 0.0158 | 2.8475 | 1850 | 0.0374 | |
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| 0.019 | 2.9245 | 1900 | 0.0362 | |
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| 0.0218 | 3.0014 | 1950 | 0.0355 | |
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| 0.014 | 3.0784 | 2000 | 0.0406 | |
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| 0.0125 | 3.1554 | 2050 | 0.0427 | |
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| 0.0163 | 3.2323 | 2100 | 0.0419 | |
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| 0.0118 | 3.3093 | 2150 | 0.0408 | |
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| 0.0119 | 3.3862 | 2200 | 0.0422 | |
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| 0.0109 | 3.4632 | 2250 | 0.0453 | |
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| 0.013 | 3.5402 | 2300 | 0.0447 | |
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| 0.0108 | 3.6171 | 2350 | 0.0428 | |
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| 0.0132 | 3.6941 | 2400 | 0.0471 | |
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| 0.0098 | 3.7710 | 2450 | 0.0445 | |
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| 0.017 | 3.8480 | 2500 | 0.0410 | |
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| 0.0115 | 3.9250 | 2550 | 0.0408 | |
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| 0.0121 | 4.0019 | 2600 | 0.0412 | |
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| 0.0061 | 4.0789 | 2650 | 0.0451 | |
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| 0.0076 | 4.1558 | 2700 | 0.0485 | |
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| 0.0066 | 4.2328 | 2750 | 0.0524 | |
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| 0.0053 | 4.3098 | 2800 | 0.0534 | |
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| 0.0073 | 4.3867 | 2850 | 0.0541 | |
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| 0.0033 | 4.4637 | 2900 | 0.0533 | |
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| 0.004 | 4.5406 | 2950 | 0.0537 | |
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| 0.0055 | 4.6176 | 3000 | 0.0541 | |
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| 0.0106 | 4.6946 | 3050 | 0.0545 | |
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| 0.0025 | 4.7715 | 3100 | 0.0543 | |
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| 0.0053 | 4.8485 | 3150 | 0.0545 | |
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| 0.0033 | 4.9254 | 3200 | 0.0545 | |
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### Framework versions |
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- PEFT 0.12.0 |
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- Transformers 4.46.1 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.20.3 |
