metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter7_sftsd1
results: []
collapse_gemma-2-2b_hs2_replace_iter7_sftsd1
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: 2.5982
- Num Input Tokens Seen: 8186704
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: 1
- 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 | 1.3956 | 0 |
| 1.5901 | 0.0315 | 5 | 1.3093 | 247976 |
| 1.1237 | 0.0630 | 10 | 1.2401 | 505504 |
| 0.7826 | 0.0945 | 15 | 1.3165 | 763072 |
| 0.5963 | 0.1259 | 20 | 1.4831 | 1022728 |
| 0.382 | 0.1574 | 25 | 1.6187 | 1285000 |
| 0.1789 | 0.1889 | 30 | 1.7936 | 1548016 |
| 0.0997 | 0.2204 | 35 | 1.9666 | 1810296 |
| 0.0771 | 0.2519 | 40 | 2.1144 | 2073776 |
| 0.0761 | 0.2834 | 45 | 2.2913 | 2332728 |
| 0.0391 | 0.3148 | 50 | 2.3861 | 2581064 |
| 0.039 | 0.3463 | 55 | 2.4478 | 2846560 |
| 0.0371 | 0.3778 | 60 | 2.4824 | 3112600 |
| 0.0303 | 0.4093 | 65 | 2.5257 | 3369440 |
| 0.0292 | 0.4408 | 70 | 2.5481 | 3635616 |
| 0.0254 | 0.4723 | 75 | 2.5834 | 3900456 |
| 0.0275 | 0.5037 | 80 | 2.6008 | 4152824 |
| 0.0304 | 0.5352 | 85 | 2.6085 | 4412552 |
| 0.03 | 0.5667 | 90 | 2.5923 | 4674816 |
| 0.026 | 0.5982 | 95 | 2.5989 | 4933192 |
| 0.0247 | 0.6297 | 100 | 2.5903 | 5189528 |
| 0.0267 | 0.6612 | 105 | 2.5938 | 5452936 |
| 0.0252 | 0.6926 | 110 | 2.6102 | 5704000 |
| 0.03 | 0.7241 | 115 | 2.6064 | 5962520 |
| 0.0242 | 0.7556 | 120 | 2.5853 | 6217880 |
| 0.0231 | 0.7871 | 125 | 2.5819 | 6473072 |
| 0.0259 | 0.8186 | 130 | 2.5811 | 6731432 |
| 0.024 | 0.8501 | 135 | 2.5730 | 6995184 |
| 0.025 | 0.8815 | 140 | 2.5772 | 7252184 |
| 0.0261 | 0.9130 | 145 | 2.5934 | 7508144 |
| 0.0252 | 0.9445 | 150 | 2.5982 | 7769400 |
| 0.0309 | 0.9760 | 155 | 2.5964 | 8032040 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1