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--- |
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library_name: transformers |
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tags: |
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- trl |
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- sft |
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- generated_from_trainer |
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model-index: |
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- name: llama_3b_step2_batch_v2 |
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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_3b_step2_batch_v2 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3132 |
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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: 3e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 40 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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: linear |
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- num_epochs: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 0.993 | 0.0341 | 50 | 1.1011 | |
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| 1.0449 | 0.0682 | 100 | 0.9752 | |
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| 0.9894 | 0.1023 | 150 | 0.8698 | |
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| 0.6199 | 0.1364 | 200 | 0.7913 | |
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| 0.5326 | 0.1704 | 250 | 0.7341 | |
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| 0.8109 | 0.2045 | 300 | 0.6799 | |
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| 0.7554 | 0.2386 | 350 | 0.6332 | |
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| 0.9877 | 0.2727 | 400 | 0.5993 | |
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| 0.3571 | 0.3068 | 450 | 0.5726 | |
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| 0.4539 | 0.3409 | 500 | 0.5439 | |
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| 0.464 | 0.3750 | 550 | 0.5147 | |
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| 0.4051 | 0.4091 | 600 | 0.4904 | |
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| 0.5371 | 0.4432 | 650 | 0.4732 | |
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| 0.4954 | 0.4772 | 700 | 0.4549 | |
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| 0.4594 | 0.5113 | 750 | 0.4399 | |
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| 0.4755 | 0.5454 | 800 | 0.4281 | |
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| 0.2948 | 0.5795 | 850 | 0.4118 | |
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| 0.3699 | 0.6136 | 900 | 0.4021 | |
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| 0.319 | 0.6477 | 950 | 0.3927 | |
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| 0.3359 | 0.6818 | 1000 | 0.3802 | |
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| 0.4056 | 0.7159 | 1050 | 0.3746 | |
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| 0.2975 | 0.7500 | 1100 | 0.3643 | |
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| 0.3868 | 0.7840 | 1150 | 0.3596 | |
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| 0.3485 | 0.8181 | 1200 | 0.3512 | |
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| 0.3546 | 0.8522 | 1250 | 0.3476 | |
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| 0.3697 | 0.8863 | 1300 | 0.3416 | |
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| 0.4056 | 0.9204 | 1350 | 0.3388 | |
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| 0.3189 | 0.9545 | 1400 | 0.3332 | |
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| 0.4173 | 0.9886 | 1450 | 0.3286 | |
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| 0.1779 | 1.0228 | 1500 | 0.3338 | |
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| 0.2877 | 1.0569 | 1550 | 0.3300 | |
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| 0.1506 | 1.0910 | 1600 | 0.3301 | |
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| 0.2075 | 1.1251 | 1650 | 0.3289 | |
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| 0.1956 | 1.1592 | 1700 | 0.3271 | |
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| 0.162 | 1.1933 | 1750 | 0.3276 | |
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| 0.2416 | 1.2274 | 1800 | 0.3228 | |
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| 0.2364 | 1.2615 | 1850 | 0.3243 | |
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| 0.1602 | 1.2956 | 1900 | 0.3219 | |
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| 0.1566 | 1.3296 | 1950 | 0.3211 | |
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| 0.1784 | 1.3637 | 2000 | 0.3215 | |
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| 0.1627 | 1.3978 | 2050 | 0.3190 | |
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| 0.1907 | 1.4319 | 2100 | 0.3183 | |
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| 0.1182 | 1.4660 | 2150 | 0.3183 | |
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| 0.1585 | 1.5001 | 2200 | 0.3179 | |
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| 0.2261 | 1.5342 | 2250 | 0.3158 | |
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| 0.1457 | 1.5683 | 2300 | 0.3150 | |
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| 0.2589 | 1.6024 | 2350 | 0.3146 | |
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| 0.2253 | 1.6364 | 2400 | 0.3144 | |
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| 0.1741 | 1.6705 | 2450 | 0.3143 | |
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| 0.1477 | 1.7046 | 2500 | 0.3141 | |
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| 0.1886 | 1.7387 | 2550 | 0.3141 | |
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| 0.2211 | 1.7728 | 2600 | 0.3139 | |
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| 0.238 | 1.8069 | 2650 | 0.3138 | |
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| 0.2863 | 1.8410 | 2700 | 0.3137 | |
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| 0.2603 | 1.8751 | 2750 | 0.3135 | |
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| 0.2484 | 1.9092 | 2800 | 0.3133 | |
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| 0.2343 | 1.9432 | 2850 | 0.3132 | |
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| 0.254 | 1.9773 | 2900 | 0.3132 | |
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### Framework versions |
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- Transformers 4.46.1 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 3.0.2 |
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- Tokenizers 0.20.1 |
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