metadata
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: []
collapse_gemma-2-2b_hs2_replace_iter3_sftsd0
This model is a fine-tuned version of 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