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--- |
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license: gemma |
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base_model: google/gemma-2-2b |
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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: gemma-2-2b_hs2_iter1_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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# gemma-2-2b_hs2_iter1_sftsd0 |
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This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5137 |
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- Num Input Tokens Seen: 17829712 |
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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: 8 |
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- eval_batch_size: 16 |
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- seed: 0 |
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- gradient_accumulation_steps: 16 |
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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_steps: 16 |
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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 | 1.3956 | 0 | |
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| 1.6926 | 0.0160 | 5 | 1.3651 | 285696 | |
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| 1.5784 | 0.0320 | 10 | 1.2560 | 571560 | |
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| 1.4982 | 0.0480 | 15 | 1.1924 | 856528 | |
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| 1.3011 | 0.0640 | 20 | 1.1594 | 1137968 | |
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| 1.2692 | 0.0800 | 25 | 1.1378 | 1423392 | |
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| 1.2069 | 0.0960 | 30 | 1.1500 | 1706944 | |
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| 1.1563 | 0.1120 | 35 | 1.1761 | 1988224 | |
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| 1.0316 | 0.1279 | 40 | 1.2207 | 2272264 | |
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| 0.9047 | 0.1439 | 45 | 1.2716 | 2559864 | |
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| 0.8926 | 0.1599 | 50 | 1.3145 | 2846920 | |
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| 0.7537 | 0.1759 | 55 | 1.3610 | 3135896 | |
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| 0.7882 | 0.1919 | 60 | 1.4222 | 3418728 | |
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| 0.6266 | 0.2079 | 65 | 1.4826 | 3699056 | |
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| 0.5966 | 0.2239 | 70 | 1.5111 | 3982712 | |
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| 0.5862 | 0.2399 | 75 | 1.5479 | 4266016 | |
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| 0.4099 | 0.2559 | 80 | 1.5246 | 4545624 | |
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| 0.438 | 0.2719 | 85 | 1.5312 | 4834416 | |
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| 0.4268 | 0.2879 | 90 | 1.5651 | 5115616 | |
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| 0.3835 | 0.3039 | 95 | 1.5781 | 5404872 | |
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| 0.3936 | 0.3199 | 100 | 1.6049 | 5693440 | |
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| 0.2999 | 0.3359 | 105 | 1.5558 | 5979936 | |
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| 0.3388 | 0.3519 | 110 | 1.5853 | 6265272 | |
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| 0.2141 | 0.3679 | 115 | 1.6082 | 6550008 | |
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| 0.1951 | 0.3838 | 120 | 1.5357 | 6829896 | |
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| 0.2827 | 0.3998 | 125 | 1.5383 | 7119640 | |
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| 0.1915 | 0.4158 | 130 | 1.5876 | 7401968 | |
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| 0.1656 | 0.4318 | 135 | 1.5285 | 7693464 | |
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| 0.1482 | 0.4478 | 140 | 1.5381 | 7979480 | |
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| 0.1831 | 0.4638 | 145 | 1.5497 | 8273408 | |
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| 0.2056 | 0.4798 | 150 | 1.5419 | 8564664 | |
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| 0.1866 | 0.4958 | 155 | 1.5257 | 8852896 | |
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| 0.1868 | 0.5118 | 160 | 1.5287 | 9138384 | |
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| 0.0985 | 0.5278 | 165 | 1.4843 | 9419648 | |
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| 0.1397 | 0.5438 | 170 | 1.4939 | 9704104 | |
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| 0.1592 | 0.5598 | 175 | 1.4628 | 9987840 | |
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| 0.1712 | 0.5758 | 180 | 1.4940 | 10272800 | |
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| 0.1482 | 0.5918 | 185 | 1.4714 | 10556720 | |
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| 0.0878 | 0.6078 | 190 | 1.4612 | 10842864 | |
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| 0.1269 | 0.6238 | 195 | 1.4885 | 11129280 | |
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| 0.0927 | 0.6397 | 200 | 1.4619 | 11410784 | |
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| 0.1429 | 0.6557 | 205 | 1.4507 | 11694648 | |
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| 0.1545 | 0.6717 | 210 | 1.4523 | 11981880 | |
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| 0.1168 | 0.6877 | 215 | 1.4535 | 12272496 | |
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| 0.175 | 0.7037 | 220 | 1.4501 | 12558896 | |
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| 0.0869 | 0.7197 | 225 | 1.4673 | 12842440 | |
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| 0.1086 | 0.7357 | 230 | 1.4905 | 13130608 | |
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| 0.1035 | 0.7517 | 235 | 1.4422 | 13411360 | |
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| 0.1142 | 0.7677 | 240 | 1.4519 | 13695520 | |
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| 0.091 | 0.7837 | 245 | 1.4698 | 13980728 | |
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| 0.1734 | 0.7997 | 250 | 1.4578 | 14276136 | |
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| 0.147 | 0.8157 | 255 | 1.4818 | 14560480 | |
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| 0.1138 | 0.8317 | 260 | 1.4677 | 14848512 | |
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| 0.0635 | 0.8477 | 265 | 1.4703 | 15136488 | |
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| 0.2047 | 0.8637 | 270 | 1.4876 | 15423352 | |
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| 0.1162 | 0.8796 | 275 | 1.4672 | 15707888 | |
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| 0.1132 | 0.8956 | 280 | 1.4634 | 15990288 | |
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| 0.1231 | 0.9116 | 285 | 1.4662 | 16275832 | |
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| 0.1544 | 0.9276 | 290 | 1.5047 | 16564968 | |
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| 0.1852 | 0.9436 | 295 | 1.4825 | 16851368 | |
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| 0.1406 | 0.9596 | 300 | 1.4831 | 17142256 | |
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| 0.1188 | 0.9756 | 305 | 1.5429 | 17429064 | |
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| 0.1442 | 0.9916 | 310 | 1.5211 | 17714264 | |
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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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