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_sftsd0
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter7_sftsd0
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: 1.1806
- Num Input Tokens Seen: 5046464
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: 0
- 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 |
| 1.3617 | 0.0544 | 5 | 1.2733 | 278136 |
| 1.199 | 0.1088 | 10 | 1.2001 | 559424 |
| 1.0696 | 0.1632 | 15 | 1.1783 | 845472 |
| 1.01 | 0.2175 | 20 | 1.1976 | 1120848 |
| 0.9704 | 0.2719 | 25 | 1.1931 | 1401104 |
| 0.7928 | 0.3263 | 30 | 1.1923 | 1680784 |
| 0.8869 | 0.3807 | 35 | 1.1986 | 1956960 |
| 0.7529 | 0.4351 | 40 | 1.2010 | 2233408 |
| 0.6472 | 0.4895 | 45 | 1.2048 | 2509944 |
| 0.6316 | 0.5438 | 50 | 1.2074 | 2783928 |
| 0.6944 | 0.5982 | 55 | 1.1871 | 3057160 |
| 0.5639 | 0.6526 | 60 | 1.1970 | 3334664 |
| 0.5933 | 0.7070 | 65 | 1.1907 | 3613112 |
| 0.5994 | 0.7614 | 70 | 1.1841 | 3885304 |
| 0.5655 | 0.8158 | 75 | 1.1783 | 4165304 |
| 0.5658 | 0.8702 | 80 | 1.1869 | 4444120 |
| 0.5515 | 0.9245 | 85 | 1.1819 | 4716040 |
| 0.4924 | 0.9789 | 90 | 1.1824 | 4993184 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1