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hoa-1b4_model_kc_server_March9th_time_format

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  2. runs/Mar09_21-30-26_nmtuet-serv/events.out.tfevents.1709994636.nmtuet-serv.352035.0 +2 -2
README.md ADDED
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+ ---
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+ license: bigscience-bloom-rail-1.0
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: vlsp-2023-vllm/hoa-1b4
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+ model-index:
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+ - name: hoa-1b4_model_kc_server_March9th_time_format
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+ results: []
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+ ---
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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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+
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+ # hoa-1b4_model_kc_server_March9th_time_format
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+
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+ This model is a fine-tuned version of [vlsp-2023-vllm/hoa-1b4](https://huggingface.co/vlsp-2023-vllm/hoa-1b4) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0459
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 4e-05
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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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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 100
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | No log | 1.0 | 465 | 0.1350 |
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+ | 0.4563 | 2.0 | 930 | 0.0705 |
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+ | 0.0994 | 3.0 | 1395 | 0.0517 |
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+ | 0.0605 | 4.0 | 1860 | 0.0436 |
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+ | 0.051 | 5.0 | 2325 | 0.0369 |
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+ | 0.043 | 6.0 | 2790 | 0.0355 |
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+ | 0.0372 | 7.0 | 3255 | 0.0336 |
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+ | 0.0365 | 8.0 | 3720 | 0.0330 |
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+ | 0.034 | 9.0 | 4185 | 0.0299 |
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+ | 0.031 | 10.0 | 4650 | 0.0296 |
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+ | 0.0293 | 11.0 | 5115 | 0.0284 |
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+ | 0.0285 | 12.0 | 5580 | 0.0305 |
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+ | 0.0276 | 13.0 | 6045 | 0.0299 |
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+ | 0.0281 | 14.0 | 6510 | 0.0276 |
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+ | 0.0281 | 15.0 | 6975 | 0.0296 |
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+ | 0.0268 | 16.0 | 7440 | 0.0290 |
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+ | 0.0261 | 17.0 | 7905 | 0.0295 |
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+ | 0.0259 | 18.0 | 8370 | 0.0320 |
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+ | 0.0254 | 19.0 | 8835 | 0.0303 |
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+ | 0.0248 | 20.0 | 9300 | 0.0284 |
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+ | 0.0247 | 21.0 | 9765 | 0.0262 |
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+ | 0.0239 | 22.0 | 10230 | 0.0298 |
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+ | 0.0238 | 23.0 | 10695 | 0.0386 |
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+ | 0.0234 | 24.0 | 11160 | 0.0306 |
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+ | 0.0242 | 25.0 | 11625 | 0.0311 |
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+ | 0.0232 | 26.0 | 12090 | 0.0342 |
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+ | 0.0235 | 27.0 | 12555 | 0.0303 |
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+ | 0.0228 | 28.0 | 13020 | 0.0341 |
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+ | 0.0228 | 29.0 | 13485 | 0.0317 |
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+ | 0.0229 | 30.0 | 13950 | 0.0295 |
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+ | 0.0223 | 31.0 | 14415 | 0.0301 |
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+ | 0.0221 | 32.0 | 14880 | 0.0314 |
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+ | 0.0219 | 33.0 | 15345 | 0.0349 |
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+ | 0.0221 | 34.0 | 15810 | 0.0383 |
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+ | 0.0219 | 35.0 | 16275 | 0.0324 |
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+ | 0.0213 | 36.0 | 16740 | 0.0319 |
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+ | 0.0222 | 37.0 | 17205 | 0.0371 |
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+ | 0.0217 | 38.0 | 17670 | 0.0355 |
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+ | 0.0217 | 39.0 | 18135 | 0.0331 |
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+ | 0.021 | 40.0 | 18600 | 0.0323 |
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+ | 0.0205 | 41.0 | 19065 | 0.0417 |
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+ | 0.0212 | 42.0 | 19530 | 0.0333 |
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+ | 0.0212 | 43.0 | 19995 | 0.0400 |
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+ | 0.021 | 44.0 | 20460 | 0.0357 |
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+ | 0.0212 | 45.0 | 20925 | 0.0377 |
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+ | 0.021 | 46.0 | 21390 | 0.0358 |
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+ | 0.0203 | 47.0 | 21855 | 0.0356 |
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+ | 0.0207 | 48.0 | 22320 | 0.0371 |
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+ | 0.0205 | 49.0 | 22785 | 0.0408 |
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+ | 0.0203 | 50.0 | 23250 | 0.0409 |
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+ | 0.0197 | 51.0 | 23715 | 0.0460 |
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+ | 0.0209 | 52.0 | 24180 | 0.0396 |
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+ | 0.0204 | 53.0 | 24645 | 0.0396 |
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+ | 0.0204 | 54.0 | 25110 | 0.0465 |
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+ | 0.0199 | 55.0 | 25575 | 0.0419 |
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+ | 0.0202 | 56.0 | 26040 | 0.0485 |
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+ | 0.0198 | 57.0 | 26505 | 0.0426 |
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+ | 0.0198 | 58.0 | 26970 | 0.0389 |
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+ | 0.0199 | 59.0 | 27435 | 0.0412 |
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+ | 0.0197 | 60.0 | 27900 | 0.0355 |
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+ | 0.0197 | 61.0 | 28365 | 0.0414 |
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+ | 0.02 | 62.0 | 28830 | 0.0420 |
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+ | 0.0197 | 63.0 | 29295 | 0.0333 |
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+ | 0.0196 | 64.0 | 29760 | 0.0443 |
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+ | 0.0195 | 65.0 | 30225 | 0.0428 |
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+ | 0.0193 | 66.0 | 30690 | 0.0409 |
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+ | 0.0195 | 67.0 | 31155 | 0.0409 |
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+ | 0.0195 | 68.0 | 31620 | 0.0392 |
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+ | 0.0192 | 69.0 | 32085 | 0.0429 |
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+ | 0.0192 | 70.0 | 32550 | 0.0400 |
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+ | 0.0191 | 71.0 | 33015 | 0.0358 |
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+ | 0.0191 | 72.0 | 33480 | 0.0378 |
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+ | 0.0193 | 73.0 | 33945 | 0.0434 |
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+ | 0.0193 | 74.0 | 34410 | 0.0395 |
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+ | 0.0189 | 75.0 | 34875 | 0.0472 |
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+ | 0.0188 | 76.0 | 35340 | 0.0388 |
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+ | 0.0191 | 77.0 | 35805 | 0.0426 |
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+ | 0.0182 | 78.0 | 36270 | 0.0460 |
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+ | 0.0197 | 79.0 | 36735 | 0.0412 |
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+ | 0.0186 | 80.0 | 37200 | 0.0444 |
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+ | 0.0189 | 81.0 | 37665 | 0.0449 |
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+ | 0.0183 | 82.0 | 38130 | 0.0487 |
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+ | 0.0184 | 83.0 | 38595 | 0.0455 |
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+ | 0.0184 | 84.0 | 39060 | 0.0443 |
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+ | 0.0185 | 85.0 | 39525 | 0.0449 |
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+ | 0.0185 | 86.0 | 39990 | 0.0430 |
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+ | 0.0186 | 87.0 | 40455 | 0.0457 |
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+ | 0.0186 | 88.0 | 40920 | 0.0497 |
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+ | 0.0183 | 89.0 | 41385 | 0.0451 |
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+ | 0.0182 | 90.0 | 41850 | 0.0465 |
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+ | 0.0186 | 91.0 | 42315 | 0.0452 |
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+ | 0.0177 | 92.0 | 42780 | 0.0472 |
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+ | 0.0189 | 93.0 | 43245 | 0.0454 |
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+ | 0.0175 | 94.0 | 43710 | 0.0449 |
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+ | 0.0187 | 95.0 | 44175 | 0.0455 |
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+ | 0.018 | 96.0 | 44640 | 0.0453 |
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+ | 0.0181 | 97.0 | 45105 | 0.0472 |
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+ | 0.0179 | 98.0 | 45570 | 0.0450 |
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+ | 0.0179 | 99.0 | 46035 | 0.0462 |
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+ | 0.0181 | 100.0 | 46500 | 0.0459 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.8.2
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+ - Transformers 4.37.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
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