| | --- |
| | license: gemma |
| | base_model: google/gemma-2-2b |
| | tags: |
| | - trl |
| | - sft |
| | - generated_from_trainer |
| | model-index: |
| | - name: collapse_gemma-2-2b_hs2_replace_iter3_sftsd0 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # collapse_gemma-2-2b_hs2_replace_iter3_sftsd0 |
| | |
| | This model is a fine-tuned version of [google/gemma-2-2b](https://huggingface.co/google/gemma-2-2b) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.8317 |
| | - Num Input Tokens Seen: 8456608 |
| | |
| | ## 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: 8e-06 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 16 |
| | - seed: 0 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 128 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: constant_with_warmup |
| | - lr_scheduler_warmup_ratio: 0.05 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen | |
| | |:-------------:|:------:|:----:|:---------------:|:-----------------:| |
| | | No log | 0 | 0 | 1.3956 | 0 | |
| | | 1.5416 | 0.0324 | 5 | 1.3068 | 269936 | |
| | | 1.3641 | 0.0649 | 10 | 1.2115 | 552616 | |
| | | 1.0289 | 0.0973 | 15 | 1.2221 | 823720 | |
| | | 0.8688 | 0.1297 | 20 | 1.2844 | 1095864 | |
| | | 0.7272 | 0.1621 | 25 | 1.4180 | 1364688 | |
| | | 0.519 | 0.1946 | 30 | 1.5302 | 1638176 | |
| | | 0.3073 | 0.2270 | 35 | 1.6787 | 1919208 | |
| | | 0.2729 | 0.2594 | 40 | 1.7833 | 2198928 | |
| | | 0.1705 | 0.2919 | 45 | 1.9387 | 2476232 | |
| | | 0.0886 | 0.3243 | 50 | 1.9982 | 2749520 | |
| | | 0.1069 | 0.3567 | 55 | 2.0681 | 3023760 | |
| | | 0.0686 | 0.3891 | 60 | 2.0576 | 3297968 | |
| | | 0.0828 | 0.4216 | 65 | 1.9080 | 3573328 | |
| | | 0.0499 | 0.4540 | 70 | 1.9215 | 3843576 | |
| | | 0.0494 | 0.4864 | 75 | 1.9651 | 4114016 | |
| | | 0.0778 | 0.5188 | 80 | 1.9004 | 4382648 | |
| | | 0.0607 | 0.5513 | 85 | 1.8523 | 4659656 | |
| | | 0.0551 | 0.5837 | 90 | 1.7979 | 4931424 | |
| | | 0.0352 | 0.6161 | 95 | 1.7820 | 5204968 | |
| | | 0.0639 | 0.6486 | 100 | 1.8419 | 5483448 | |
| | | 0.0605 | 0.6810 | 105 | 1.8618 | 5761696 | |
| | | 0.0386 | 0.7134 | 110 | 1.7887 | 6038976 | |
| | | 0.0399 | 0.7458 | 115 | 1.8088 | 6311440 | |
| | | 0.0333 | 0.7783 | 120 | 1.9178 | 6585992 | |
| | | 0.0458 | 0.8107 | 125 | 1.9033 | 6863656 | |
| | | 0.0419 | 0.8431 | 130 | 1.8162 | 7138912 | |
| | | 0.0386 | 0.8756 | 135 | 1.7969 | 7407560 | |
| | | 0.0464 | 0.9080 | 140 | 1.8278 | 7687208 | |
| | | 0.0376 | 0.9404 | 145 | 1.8610 | 7964184 | |
| | | 0.0418 | 0.9728 | 150 | 1.8592 | 8240528 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
