metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter4_sftsd1
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter4_sftsd1
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: 1.1502
- Num Input Tokens Seen: 5139552
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: 1
- 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 | 1.3909 | 0 |
| 1.4366 | 0.0537 | 5 | 1.2652 | 272808 |
| 1.205 | 0.1075 | 10 | 1.1792 | 543728 |
| 1.0601 | 0.1612 | 15 | 1.1613 | 817168 |
| 0.9601 | 0.2149 | 20 | 1.1532 | 1092816 |
| 0.9378 | 0.2686 | 25 | 1.1523 | 1371272 |
| 0.9852 | 0.3224 | 30 | 1.1648 | 1652968 |
| 0.9609 | 0.3761 | 35 | 1.1735 | 1931576 |
| 0.8948 | 0.4298 | 40 | 1.1661 | 2213968 |
| 0.8069 | 0.4835 | 45 | 1.1685 | 2496776 |
| 0.6446 | 0.5373 | 50 | 1.1695 | 2771880 |
| 0.7284 | 0.5910 | 55 | 1.1612 | 3049008 |
| 0.6245 | 0.6447 | 60 | 1.1637 | 3321840 |
| 0.5641 | 0.6985 | 65 | 1.1559 | 3594864 |
| 0.5613 | 0.7522 | 70 | 1.1590 | 3871512 |
| 0.6246 | 0.8059 | 75 | 1.1572 | 4140888 |
| 0.6635 | 0.8596 | 80 | 1.1523 | 4417664 |
| 0.626 | 0.9134 | 85 | 1.1528 | 4694904 |
| 0.579 | 0.9671 | 90 | 1.1477 | 4973416 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1