metadata
license: gemma
base_model: google/gemma-2-27b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-27b_hs2_replace_iter5_sftsd0
results: []
collapse_gemma-2-27b_hs2_replace_iter5_sftsd0
This model is a fine-tuned version of google/gemma-2-27b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3588
- Num Input Tokens Seen: 2363424
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: 4
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 32
- 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 | 1.1282 | 0 |
| 4.0483 | 0.1269 | 5 | 1.1138 | 306092 |
| 3.8882 | 0.2538 | 10 | 1.2045 | 612464 |
| 3.7347 | 0.3807 | 15 | 1.2446 | 916160 |
| 3.5411 | 0.5075 | 20 | 1.3019 | 1219264 |
| 3.4466 | 0.6344 | 25 | 1.3385 | 1521040 |
| 3.351 | 0.7613 | 30 | 1.3513 | 1822060 |
| 3.3188 | 0.8882 | 35 | 1.3558 | 2123260 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1