metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter7_sftsd2
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter7_sftsd2
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: 1.1838
- Num Input Tokens Seen: 5084280
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: 2
- 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 |
| 1.3084 | 0.0532 | 5 | 1.2703 | 275232 |
| 1.1373 | 0.1065 | 10 | 1.1957 | 547312 |
| 1.1446 | 0.1597 | 15 | 1.1790 | 822336 |
| 0.9553 | 0.2129 | 20 | 1.1806 | 1090224 |
| 0.8531 | 0.2661 | 25 | 1.2067 | 1364032 |
| 0.7999 | 0.3194 | 30 | 1.2086 | 1638152 |
| 0.8383 | 0.3726 | 35 | 1.2081 | 1910656 |
| 0.6788 | 0.4258 | 40 | 1.2046 | 2184752 |
| 0.5638 | 0.4790 | 45 | 1.2050 | 2460296 |
| 0.7359 | 0.5323 | 50 | 1.1890 | 2726344 |
| 0.5884 | 0.5855 | 55 | 1.2006 | 2997416 |
| 0.5682 | 0.6387 | 60 | 1.1961 | 3277152 |
| 0.5166 | 0.6919 | 65 | 1.1880 | 3552712 |
| 0.6191 | 0.7452 | 70 | 1.1862 | 3828400 |
| 0.4679 | 0.7984 | 75 | 1.1922 | 4104744 |
| 0.5175 | 0.8516 | 80 | 1.1861 | 4374456 |
| 0.4754 | 0.9049 | 85 | 1.1885 | 4650432 |
| 0.489 | 0.9581 | 90 | 1.1839 | 4922224 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1