metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter4_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter4_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: 2.2138
- Num Input Tokens Seen: 5073848
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 |
| 1.5334 | 0.0511 | 5 | 1.2716 | 258224 |
| 1.0476 | 0.1022 | 10 | 1.2402 | 516160 |
| 0.6789 | 0.1533 | 15 | 1.4191 | 780248 |
| 0.4452 | 0.2043 | 20 | 1.5919 | 1036256 |
| 0.2474 | 0.2554 | 25 | 1.7709 | 1301368 |
| 0.1388 | 0.3065 | 30 | 1.9171 | 1563976 |
| 0.1272 | 0.3576 | 35 | 2.0396 | 1822440 |
| 0.0532 | 0.4087 | 40 | 2.1483 | 2075376 |
| 0.051 | 0.4598 | 45 | 2.1510 | 2339344 |
| 0.0471 | 0.5109 | 50 | 2.2012 | 2612616 |
| 0.0398 | 0.5619 | 55 | 2.1902 | 2869216 |
| 0.0414 | 0.6130 | 60 | 2.2098 | 3123616 |
| 0.0326 | 0.6641 | 65 | 2.1951 | 3390016 |
| 0.0353 | 0.7152 | 70 | 2.1734 | 3658096 |
| 0.0301 | 0.7663 | 75 | 2.1824 | 3926288 |
| 0.0286 | 0.8174 | 80 | 2.1903 | 4184328 |
| 0.0316 | 0.8685 | 85 | 2.1851 | 4447976 |
| 0.0291 | 0.9195 | 90 | 2.2216 | 4705152 |
| 0.0276 | 0.9706 | 95 | 2.2168 | 4966096 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1