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--- |
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license: gemma |
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base_model: google/gemma-2-9b |
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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: collapse_gemma-2-9b_hs2_accumulate_iter5_sftsd0 |
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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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# collapse_gemma-2-9b_hs2_accumulate_iter5_sftsd0 |
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This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9550 |
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- Num Input Tokens Seen: 24347300 |
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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: 8e-06 |
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- train_batch_size: 4 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant_with_warmup |
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- lr_scheduler_warmup_ratio: 0.05 |
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- num_epochs: 1 |
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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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| No log | 0 | 0 | 1.2335 | 0 | |
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| 1.4207 | 0.0104 | 5 | 1.1924 | 257832 | |
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| 1.2547 | 0.0208 | 10 | 1.0837 | 513264 | |
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| 1.048 | 0.0312 | 15 | 1.0324 | 766088 | |
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| 0.851 | 0.0416 | 20 | 1.0155 | 1020968 | |
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| 0.7142 | 0.0520 | 25 | 1.0140 | 1278292 | |
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| 0.5167 | 0.0624 | 30 | 1.0245 | 1526988 | |
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| 0.3847 | 0.0728 | 35 | 1.0231 | 1784656 | |
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| 0.3415 | 0.0832 | 40 | 1.0195 | 2041944 | |
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| 0.3307 | 0.0936 | 45 | 1.0139 | 2297136 | |
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| 0.3229 | 0.1040 | 50 | 1.0051 | 2548836 | |
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| 0.2929 | 0.1144 | 55 | 1.0047 | 2801308 | |
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| 0.3572 | 0.1247 | 60 | 1.0015 | 3059268 | |
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| 0.2615 | 0.1351 | 65 | 0.9968 | 3313844 | |
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| 0.3591 | 0.1455 | 70 | 0.9979 | 3562524 | |
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| 0.2775 | 0.1559 | 75 | 0.9933 | 3813084 | |
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| 0.2585 | 0.1663 | 80 | 0.9926 | 4066920 | |
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| 0.2725 | 0.1767 | 85 | 0.9883 | 4324928 | |
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| 0.2611 | 0.1871 | 90 | 0.9864 | 4580444 | |
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| 0.353 | 0.1975 | 95 | 0.9846 | 4830100 | |
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| 0.2454 | 0.2079 | 100 | 0.9834 | 5075616 | |
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| 0.2581 | 0.2183 | 105 | 0.9827 | 5325788 | |
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| 0.2402 | 0.2287 | 110 | 0.9801 | 5572856 | |
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| 0.2896 | 0.2391 | 115 | 0.9798 | 5833092 | |
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| 0.2406 | 0.2495 | 120 | 0.9787 | 6088344 | |
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| 0.2592 | 0.2599 | 125 | 0.9775 | 6341032 | |
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| 0.2952 | 0.2703 | 130 | 0.9766 | 6602212 | |
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| 0.2539 | 0.2807 | 135 | 0.9747 | 6855168 | |
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| 0.2138 | 0.2911 | 140 | 0.9729 | 7107748 | |
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| 0.2758 | 0.3015 | 145 | 0.9749 | 7362420 | |
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| 0.2321 | 0.3119 | 150 | 0.9724 | 7615056 | |
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| 0.1961 | 0.3223 | 155 | 0.9723 | 7871808 | |
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| 0.2426 | 0.3327 | 160 | 0.9729 | 8125796 | |
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| 0.3097 | 0.3431 | 165 | 0.9724 | 8379432 | |
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| 0.1816 | 0.3535 | 170 | 0.9702 | 8630796 | |
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| 0.2926 | 0.3638 | 175 | 0.9708 | 8877972 | |
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| 0.2079 | 0.3742 | 180 | 0.9716 | 9125056 | |
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| 0.2498 | 0.3846 | 185 | 0.9712 | 9374900 | |
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| 0.2174 | 0.3950 | 190 | 0.9698 | 9627612 | |
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| 0.2393 | 0.4054 | 195 | 0.9707 | 9875172 | |
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| 0.2249 | 0.4158 | 200 | 0.9702 | 10126424 | |
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| 0.2005 | 0.4262 | 205 | 0.9681 | 10377444 | |
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| 0.2247 | 0.4366 | 210 | 0.9671 | 10631588 | |
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| 0.2091 | 0.4470 | 215 | 0.9659 | 10892176 | |
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| 0.2034 | 0.4574 | 220 | 0.9664 | 11142312 | |
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| 0.2397 | 0.4678 | 225 | 0.9670 | 11402760 | |
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| 0.2517 | 0.4782 | 230 | 0.9644 | 11657056 | |
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| 0.3291 | 0.4886 | 235 | 0.9645 | 11902520 | |
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| 0.2911 | 0.4990 | 240 | 0.9631 | 12151572 | |
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| 0.2172 | 0.5094 | 245 | 0.9614 | 12414324 | |
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| 0.2315 | 0.5198 | 250 | 0.9618 | 12672860 | |
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| 0.2185 | 0.5302 | 255 | 0.9623 | 12927456 | |
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| 0.2485 | 0.5406 | 260 | 0.9601 | 13184492 | |
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| 0.3055 | 0.5510 | 265 | 0.9610 | 13440432 | |
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| 0.2073 | 0.5614 | 270 | 0.9615 | 13691400 | |
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| 0.3036 | 0.5718 | 275 | 0.9600 | 13940060 | |
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| 0.2752 | 0.5822 | 280 | 0.9594 | 14195336 | |
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| 0.2654 | 0.5926 | 285 | 0.9597 | 14447088 | |
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| 0.3343 | 0.6029 | 290 | 0.9593 | 14706880 | |
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| 0.3417 | 0.6133 | 295 | 0.9601 | 14964384 | |
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| 0.2027 | 0.6237 | 300 | 0.9586 | 15212096 | |
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| 0.2576 | 0.6341 | 305 | 0.9574 | 15460956 | |
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| 0.2259 | 0.6445 | 310 | 0.9583 | 15719636 | |
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| 0.245 | 0.6549 | 315 | 0.9566 | 15980620 | |
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| 0.2193 | 0.6653 | 320 | 0.9582 | 16237904 | |
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| 0.2397 | 0.6757 | 325 | 0.9595 | 16490244 | |
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| 0.2264 | 0.6861 | 330 | 0.9567 | 16749444 | |
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| 0.2564 | 0.6965 | 335 | 0.9565 | 16996912 | |
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| 0.2242 | 0.7069 | 340 | 0.9561 | 17255000 | |
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| 0.2263 | 0.7173 | 345 | 0.9544 | 17508552 | |
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| 0.2417 | 0.7277 | 350 | 0.9554 | 17761116 | |
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| 0.2355 | 0.7381 | 355 | 0.9538 | 18019056 | |
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| 0.2344 | 0.7485 | 360 | 0.9538 | 18273916 | |
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| 0.2404 | 0.7589 | 365 | 0.9565 | 18524148 | |
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| 0.1552 | 0.7693 | 370 | 0.9577 | 18777776 | |
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| 0.2278 | 0.7797 | 375 | 0.9569 | 19028256 | |
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| 0.2164 | 0.7901 | 380 | 0.9555 | 19288972 | |
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| 0.1864 | 0.8005 | 385 | 0.9569 | 19539736 | |
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| 0.2767 | 0.8109 | 390 | 0.9572 | 19789388 | |
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| 0.2737 | 0.8213 | 395 | 0.9565 | 20034884 | |
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| 0.2266 | 0.8317 | 400 | 0.9566 | 20285948 | |
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| 0.2633 | 0.8421 | 405 | 0.9586 | 20534344 | |
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| 0.1812 | 0.8524 | 410 | 0.9545 | 20788364 | |
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| 0.2365 | 0.8628 | 415 | 0.9527 | 21043348 | |
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| 0.2148 | 0.8732 | 420 | 0.9536 | 21296084 | |
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| 0.2508 | 0.8836 | 425 | 0.9556 | 21551736 | |
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| 0.2298 | 0.8940 | 430 | 0.9553 | 21803092 | |
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| 0.2442 | 0.9044 | 435 | 0.9564 | 22059360 | |
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| 0.2786 | 0.9148 | 440 | 0.9550 | 22314208 | |
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| 0.2686 | 0.9252 | 445 | 0.9546 | 22566492 | |
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| 0.2733 | 0.9356 | 450 | 0.9567 | 22819036 | |
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| 0.2783 | 0.9460 | 455 | 0.9570 | 23073228 | |
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| 0.2188 | 0.9564 | 460 | 0.9528 | 23324836 | |
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| 0.275 | 0.9668 | 465 | 0.9525 | 23582856 | |
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| 0.2923 | 0.9772 | 470 | 0.9532 | 23837532 | |
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| 0.2072 | 0.9876 | 475 | 0.9537 | 24088876 | |
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| 0.2018 | 0.9980 | 480 | 0.9550 | 24347300 | |
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### Framework versions |
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- Transformers 4.44.0 |
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- Pytorch 2.4.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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