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imdatta0
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gemma-2-9b_metamath_ortho

PEFT
Safetensors
unsloth
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End of training

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  1. README.md +48 -48
  2. adapter_model.safetensors +1 -1
README.md CHANGED
@@ -17,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [unsloth/gemma-2-9b](https://huggingface.co/unsloth/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: 8.8949
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  ## Model description
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@@ -51,53 +51,53 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 0.7552 | 0.0211 | 13 | 11.3000 |
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- | 11.6101 | 0.0421 | 26 | 11.6207 |
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- | 11.2097 | 0.0632 | 39 | 11.2115 |
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- | 10.6416 | 0.0843 | 52 | 11.2629 |
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- | 11.087 | 0.1053 | 65 | 11.0208 |
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- | 10.911 | 0.1264 | 78 | 11.1743 |
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- | 10.3864 | 0.1474 | 91 | 9.9812 |
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- | 10.0221 | 0.1685 | 104 | 9.7955 |
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- | 10.1644 | 0.1896 | 117 | 10.3842 |
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- | 10.6605 | 0.2106 | 130 | 10.8225 |
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- | 10.6448 | 0.2317 | 143 | 10.6978 |
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- | 10.6678 | 0.2528 | 156 | 10.5545 |
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- | 10.3694 | 0.2738 | 169 | 9.2694 |
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- | 11.5024 | 0.2949 | 182 | 11.9171 |
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- | 11.731 | 0.3159 | 195 | 11.1801 |
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- | 11.5971 | 0.3370 | 208 | 10.8633 |
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- | 11.0785 | 0.3581 | 221 | 10.8301 |
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- | 10.5228 | 0.3791 | 234 | 10.5660 |
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- | 10.4021 | 0.4002 | 247 | 10.2953 |
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- | 10.2801 | 0.4213 | 260 | 10.1140 |
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- | 11.5045 | 0.4423 | 273 | 11.9247 |
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- | 11.7387 | 0.4634 | 286 | 11.5647 |
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- | 11.6365 | 0.4845 | 299 | 11.5171 |
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- | 10.8443 | 0.5055 | 312 | 9.7961 |
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- | 11.0662 | 0.5266 | 325 | 10.9008 |
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- | 10.9411 | 0.5476 | 338 | 11.0820 |
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- | 11.2701 | 0.5687 | 351 | 11.4640 |
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- | 10.8777 | 0.5898 | 364 | 9.6432 |
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- | 10.3239 | 0.6108 | 377 | 10.6138 |
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- | 10.8646 | 0.6319 | 390 | 10.7791 |
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- | 11.2221 | 0.6530 | 403 | 11.1868 |
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- | 11.0328 | 0.6740 | 416 | 10.8502 |
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- | 10.8706 | 0.6951 | 429 | 10.7639 |
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- | 10.9227 | 0.7162 | 442 | 10.7393 |
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- | 10.3582 | 0.7372 | 455 | 8.8997 |
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- | 9.4372 | 0.7583 | 468 | 9.9192 |
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- | 9.5329 | 0.7793 | 481 | 9.3924 |
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- | 9.6104 | 0.8004 | 494 | 9.3153 |
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- | 9.3477 | 0.8215 | 507 | 9.2830 |
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- | 9.7923 | 0.8425 | 520 | 8.8935 |
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- | 8.8863 | 0.8636 | 533 | 9.5862 |
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- | 8.9213 | 0.8847 | 546 | 8.4786 |
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- | 8.5736 | 0.9057 | 559 | 9.8808 |
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- | 9.5766 | 0.9268 | 572 | 8.6842 |
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- | 8.6045 | 0.9478 | 585 | 8.7064 |
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- | 8.6253 | 0.9689 | 598 | 8.8377 |
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- | 8.8052 | 0.9900 | 611 | 8.8949 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [unsloth/gemma-2-9b](https://huggingface.co/unsloth/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: 10.4991
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 0.7559 | 0.0211 | 13 | 11.2124 |
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+ | 11.6216 | 0.0421 | 26 | 11.5534 |
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+ | 11.3932 | 0.0632 | 39 | 11.2944 |
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+ | 10.8497 | 0.0843 | 52 | 10.5202 |
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+ | 10.6949 | 0.1053 | 65 | 10.3737 |
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+ | 10.205 | 0.1264 | 78 | 10.8305 |
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+ | 10.3395 | 0.1474 | 91 | 11.1255 |
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+ | 10.8575 | 0.1685 | 104 | 10.1467 |
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+ | 10.5782 | 0.1896 | 117 | 10.6096 |
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+ | 10.5443 | 0.2106 | 130 | 10.3814 |
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+ | 10.4871 | 0.2317 | 143 | 10.6978 |
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+ | 10.4177 | 0.2528 | 156 | 10.8357 |
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+ | 9.3249 | 0.2738 | 169 | 9.7925 |
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+ | 11.959 | 0.2949 | 182 | 12.0069 |
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+ | 12.0051 | 0.3159 | 195 | 11.9632 |
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+ | 11.9939 | 0.3370 | 208 | 11.9428 |
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+ | 11.711 | 0.3581 | 221 | 11.8586 |
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+ | 11.7235 | 0.3791 | 234 | 11.4550 |
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+ | 11.4001 | 0.4002 | 247 | 11.5482 |
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+ | 11.3359 | 0.4213 | 260 | 11.1959 |
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+ | 11.5279 | 0.4423 | 273 | 11.5632 |
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+ | 11.3903 | 0.4634 | 286 | 11.0193 |
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+ | 11.2189 | 0.4845 | 299 | 11.1413 |
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+ | 11.0779 | 0.5055 | 312 | 10.9722 |
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+ | 11.0063 | 0.5266 | 325 | 10.8490 |
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+ | 11.1246 | 0.5476 | 338 | 11.1407 |
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+ | 10.9858 | 0.5687 | 351 | 10.7436 |
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+ | 10.6825 | 0.5898 | 364 | 11.2291 |
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+ | 11.3333 | 0.6108 | 377 | 11.0195 |
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+ | 10.9347 | 0.6319 | 390 | 10.9265 |
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+ | 10.7369 | 0.6530 | 403 | 10.7926 |
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+ | 10.7869 | 0.6740 | 416 | 10.7711 |
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+ | 10.7802 | 0.6951 | 429 | 10.6187 |
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+ | 10.8631 | 0.7162 | 442 | 10.8749 |
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+ | 10.6492 | 0.7372 | 455 | 10.6884 |
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+ | 10.7395 | 0.7583 | 468 | 10.6685 |
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+ | 10.7239 | 0.7793 | 481 | 10.5783 |
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+ | 10.5349 | 0.8004 | 494 | 10.4897 |
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+ | 10.3873 | 0.8215 | 507 | 10.6675 |
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+ | 10.4529 | 0.8425 | 520 | 10.5227 |
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+ | 10.4378 | 0.8636 | 533 | 10.4906 |
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+ | 10.5446 | 0.8847 | 546 | 10.5181 |
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+ | 10.469 | 0.9057 | 559 | 10.4954 |
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+ | 10.4688 | 0.9268 | 572 | 10.4928 |
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+ | 10.4527 | 0.9478 | 585 | 10.4564 |
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+ | 10.4343 | 0.9689 | 598 | 10.4873 |
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+ | 10.4796 | 0.9900 | 611 | 10.4991 |
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  ### Framework versions
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