metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter2_sftsd1
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter2_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: 1.1158
- Num Input Tokens Seen: 5428320
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 | 1.3909 | 0 |
| 1.5252 | 0.0528 | 5 | 1.2603 | 290304 |
| 1.2884 | 0.1056 | 10 | 1.1731 | 575792 |
| 1.2154 | 0.1584 | 15 | 1.1435 | 868776 |
| 1.1343 | 0.2112 | 20 | 1.1179 | 1155912 |
| 1.0689 | 0.2640 | 25 | 1.1161 | 1444904 |
| 1.1257 | 0.3168 | 30 | 1.1142 | 1735312 |
| 1.0078 | 0.3696 | 35 | 1.1146 | 2027704 |
| 1.0816 | 0.4224 | 40 | 1.1123 | 2321120 |
| 0.9497 | 0.4752 | 45 | 1.1184 | 2612344 |
| 1.0082 | 0.5281 | 50 | 1.1232 | 2907048 |
| 0.9434 | 0.5809 | 55 | 1.1215 | 3190304 |
| 0.8983 | 0.6337 | 60 | 1.1277 | 3476720 |
| 0.8889 | 0.6865 | 65 | 1.1243 | 3763904 |
| 0.8076 | 0.7393 | 70 | 1.1252 | 4049648 |
| 0.8421 | 0.7921 | 75 | 1.1192 | 4333672 |
| 0.8074 | 0.8449 | 80 | 1.1250 | 4624536 |
| 0.8398 | 0.8977 | 85 | 1.1192 | 4918568 |
| 0.8359 | 0.9505 | 90 | 1.1157 | 5198200 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1