--- license: gemma library_name: peft tags: - trl - sft - generated_from_trainer base_model: google/gemma-2b model-index: - name: gemma-2b-it-gee results: [] --- # gemma-2b-it-gee This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.9609 ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 2.5e-05 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - training_steps: 200 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:------:|:----:|:---------------:| | No log | 0.016 | 2 | 1.1482 | | No log | 0.032 | 4 | 1.1330 | | No log | 0.048 | 6 | 1.1206 | | No log | 0.064 | 8 | 1.1111 | | No log | 0.08 | 10 | 1.1005 | | No log | 0.096 | 12 | 1.0913 | | No log | 0.112 | 14 | 1.0823 | | No log | 0.128 | 16 | 1.0734 | | No log | 0.144 | 18 | 1.0660 | | No log | 0.16 | 20 | 1.0590 | | No log | 0.176 | 22 | 1.0520 | | No log | 0.192 | 24 | 1.0470 | | No log | 0.208 | 26 | 1.0425 | | No log | 0.224 | 28 | 1.0387 | | No log | 0.24 | 30 | 1.0353 | | No log | 0.256 | 32 | 1.0320 | | No log | 0.272 | 34 | 1.0288 | | No log | 0.288 | 36 | 1.0256 | | No log | 0.304 | 38 | 1.0232 | | No log | 0.32 | 40 | 1.0204 | | No log | 0.336 | 42 | 1.0183 | | No log | 0.352 | 44 | 1.0159 | | No log | 0.368 | 46 | 1.0137 | | No log | 0.384 | 48 | 1.0115 | | 1.0621 | 0.4 | 50 | 1.0095 | | 1.0621 | 0.416 | 52 | 1.0075 | | 1.0621 | 0.432 | 54 | 1.0054 | | 1.0621 | 0.448 | 56 | 1.0034 | | 1.0621 | 0.464 | 58 | 1.0014 | | 1.0621 | 0.48 | 60 | 0.9994 | | 1.0621 | 0.496 | 62 | 0.9976 | | 1.0621 | 0.512 | 64 | 0.9960 | | 1.0621 | 0.528 | 66 | 0.9944 | | 1.0621 | 0.544 | 68 | 0.9928 | | 1.0621 | 0.56 | 70 | 0.9911 | | 1.0621 | 0.576 | 72 | 0.9896 | | 1.0621 | 0.592 | 74 | 0.9882 | | 1.0621 | 0.608 | 76 | 0.9868 | | 1.0621 | 0.624 | 78 | 0.9853 | | 1.0621 | 0.64 | 80 | 0.9836 | | 1.0621 | 0.656 | 82 | 0.9822 | | 1.0621 | 0.672 | 84 | 0.9809 | | 1.0621 | 0.688 | 86 | 0.9797 | | 1.0621 | 0.704 | 88 | 0.9785 | | 1.0621 | 0.72 | 90 | 0.9775 | | 1.0621 | 0.736 | 92 | 0.9764 | | 1.0621 | 0.752 | 94 | 0.9754 | | 1.0621 | 0.768 | 96 | 0.9745 | | 1.0621 | 0.784 | 98 | 0.9737 | | 1.0035 | 0.8 | 100 | 0.9729 | | 1.0035 | 0.816 | 102 | 0.9723 | | 1.0035 | 0.832 | 104 | 0.9716 | | 1.0035 | 0.848 | 106 | 0.9710 | | 1.0035 | 0.864 | 108 | 0.9705 | | 1.0035 | 0.88 | 110 | 0.9700 | | 1.0035 | 0.896 | 112 | 0.9695 | | 1.0035 | 0.912 | 114 | 0.9690 | | 1.0035 | 0.928 | 116 | 0.9685 | | 1.0035 | 0.944 | 118 | 0.9681 | | 1.0035 | 0.96 | 120 | 0.9677 | | 1.0035 | 0.976 | 122 | 0.9674 | | 1.0035 | 0.992 | 124 | 0.9671 | | 1.0035 | 1.008 | 126 | 0.9668 | | 1.0035 | 1.024 | 128 | 0.9665 | | 1.0035 | 1.04 | 130 | 0.9661 | | 1.0035 | 1.056 | 132 | 0.9657 | | 1.0035 | 1.072 | 134 | 0.9654 | | 1.0035 | 1.088 | 136 | 0.9652 | | 1.0035 | 1.104 | 138 | 0.9650 | | 1.0035 | 1.12 | 140 | 0.9648 | | 1.0035 | 1.1360 | 142 | 0.9645 | | 1.0035 | 1.152 | 144 | 0.9644 | | 1.0035 | 1.168 | 146 | 0.9642 | | 1.0035 | 1.184 | 148 | 0.9639 | | 0.9687 | 1.2 | 150 | 0.9637 | | 0.9687 | 1.216 | 152 | 0.9634 | | 0.9687 | 1.232 | 154 | 0.9632 | | 0.9687 | 1.248 | 156 | 0.9630 | | 0.9687 | 1.264 | 158 | 0.9628 | | 0.9687 | 1.28 | 160 | 0.9627 | | 0.9687 | 1.296 | 162 | 0.9625 | | 0.9687 | 1.312 | 164 | 0.9623 | | 0.9687 | 1.328 | 166 | 0.9622 | | 0.9687 | 1.3440 | 168 | 0.9620 | | 0.9687 | 1.3600 | 170 | 0.9619 | | 0.9687 | 1.376 | 172 | 0.9618 | | 0.9687 | 1.392 | 174 | 0.9617 | | 0.9687 | 1.408 | 176 | 0.9616 | | 0.9687 | 1.424 | 178 | 0.9615 | | 0.9687 | 1.44 | 180 | 0.9614 | | 0.9687 | 1.456 | 182 | 0.9613 | | 0.9687 | 1.472 | 184 | 0.9613 | | 0.9687 | 1.488 | 186 | 0.9612 | | 0.9687 | 1.504 | 188 | 0.9611 | | 0.9687 | 1.52 | 190 | 0.9611 | | 0.9687 | 1.536 | 192 | 0.9610 | | 0.9687 | 1.552 | 194 | 0.9610 | | 0.9687 | 1.568 | 196 | 0.9609 | | 0.9687 | 1.584 | 198 | 0.9609 | | 0.982 | 1.6 | 200 | 0.9609 | ### Framework versions - PEFT 0.10.1.dev0 - Transformers 4.41.0.dev0 - Pytorch 2.2.2+cu121 - Datasets 2.19.0 - Tokenizers 0.19.1