--- license: gemma base_model: google/gemma-2b tags: - generated_from_trainer model-index: - name: G0428HMA16 results: [] --- # G0428HMA16 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: 0.1057 ## 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: 0.0003 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 16 - total_train_batch_size: 128 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine_with_restarts - lr_scheduler_warmup_steps: 100 - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 2.6372 | 0.09 | 10 | 1.7096 | | 1.1238 | 0.18 | 20 | 0.4795 | | 0.2595 | 0.27 | 30 | 0.1668 | | 0.155 | 0.36 | 40 | 0.1603 | | 0.1489 | 0.45 | 50 | 0.1483 | | 0.1474 | 0.54 | 60 | 0.1499 | | 0.1479 | 0.63 | 70 | 0.1470 | | 0.1491 | 0.73 | 80 | 0.1479 | | 0.1413 | 0.82 | 90 | 0.1486 | | 0.1448 | 0.91 | 100 | 0.1479 | | 0.1492 | 1.0 | 110 | 0.1488 | | 0.1429 | 1.09 | 120 | 0.1485 | | 0.1447 | 1.18 | 130 | 0.1485 | | 0.146 | 1.27 | 140 | 0.1473 | | 0.1478 | 1.36 | 150 | 0.1466 | | 0.1423 | 1.45 | 160 | 0.1507 | | 0.1434 | 1.54 | 170 | 0.1435 | | 0.1392 | 1.63 | 180 | 0.1377 | | 0.1379 | 1.72 | 190 | 0.1359 | | 0.1285 | 1.81 | 200 | 0.1294 | | 0.1271 | 1.9 | 210 | 0.1303 | | 0.1269 | 1.99 | 220 | 0.1228 | | 0.1118 | 2.08 | 230 | 0.1210 | | 0.1144 | 2.18 | 240 | 0.1153 | | 0.1106 | 2.27 | 250 | 0.1123 | | 0.1116 | 2.36 | 260 | 0.1155 | | 0.1158 | 2.45 | 270 | 0.1118 | | 0.1066 | 2.54 | 280 | 0.1109 | | 0.0991 | 2.63 | 290 | 0.1098 | | 0.1016 | 2.72 | 300 | 0.1064 | | 0.1029 | 2.81 | 310 | 0.1058 | | 0.1052 | 2.9 | 320 | 0.1057 | | 0.106 | 2.99 | 330 | 0.1057 | ### Framework versions - Transformers 4.36.0.dev0 - Pytorch 2.1.2+cu121 - Datasets 2.14.6 - Tokenizers 0.14.1