metadata
license: gemma
base_model: google/gemma-2-9b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-9b_hs2_replace_iter2_sftsd0
results: []
collapse_gemma-2-9b_hs2_replace_iter2_sftsd0
This model is a fine-tuned version of google/gemma-2-9b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2206
- Num Input Tokens Seen: 4604388
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 | 1.2335 | 0 |
| 1.0956 | 0.0544 | 5 | 1.0730 | 251364 |
| 0.7073 | 0.1088 | 10 | 1.0601 | 506644 |
| 0.398 | 0.1632 | 15 | 1.0813 | 756848 |
| 0.2713 | 0.2176 | 20 | 1.1120 | 1009688 |
| 0.1577 | 0.2720 | 25 | 1.1339 | 1263852 |
| 0.1476 | 0.3264 | 30 | 1.1173 | 1518564 |
| 0.1351 | 0.3808 | 35 | 1.1436 | 1773696 |
| 0.0789 | 0.4352 | 40 | 1.1029 | 2023168 |
| 0.1184 | 0.4896 | 45 | 1.1221 | 2280352 |
| 0.1306 | 0.5440 | 50 | 1.1244 | 2528600 |
| 0.0673 | 0.5984 | 55 | 1.1371 | 2787720 |
| 0.099 | 0.6528 | 60 | 1.1386 | 3037224 |
| 0.1256 | 0.7072 | 65 | 1.1399 | 3299104 |
| 0.0842 | 0.7616 | 70 | 1.1874 | 3556764 |
| 0.12 | 0.8160 | 75 | 1.1876 | 3813380 |
| 0.0752 | 0.8705 | 80 | 1.1980 | 4059584 |
| 0.0604 | 0.9249 | 85 | 1.2308 | 4303764 |
| 0.046 | 0.9793 | 90 | 1.2139 | 4556488 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1