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_sftsd2
results: []
collapse_gemma-2-27b_hs2_replace_iter5_sftsd2
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: 1.3885
- Num Input Tokens Seen: 2751792
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: 2
- 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 |
| 4.321 | 0.1060 | 5 | 1.1089 | 288828 |
| 4.0789 | 0.2119 | 10 | 1.2018 | 581504 |
| 3.8543 | 0.3179 | 15 | 1.2446 | 873364 |
| 3.6951 | 0.4238 | 20 | 1.3045 | 1165140 |
| 3.4936 | 0.5298 | 25 | 1.3632 | 1461128 |
| 3.4498 | 0.6358 | 30 | 1.3670 | 1750764 |
| 3.3639 | 0.7417 | 35 | 1.3663 | 2044840 |
| 3.2972 | 0.8477 | 40 | 1.3672 | 2339024 |
| 3.2375 | 0.9536 | 45 | 1.3869 | 2633860 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1