metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter19_sftsd1
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter19_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: 1.2055
- Num Input Tokens Seen: 4907024
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 |
| 1.3427 | 0.0527 | 5 | 1.2782 | 258072 |
| 1.0971 | 0.1053 | 10 | 1.2131 | 521696 |
| 0.9209 | 0.1580 | 15 | 1.2167 | 782872 |
| 0.7304 | 0.2107 | 20 | 1.2697 | 1039040 |
| 0.6214 | 0.2633 | 25 | 1.2589 | 1307632 |
| 0.5449 | 0.3160 | 30 | 1.3018 | 1568000 |
| 0.521 | 0.3687 | 35 | 1.2918 | 1824608 |
| 0.4267 | 0.4213 | 40 | 1.2783 | 2087280 |
| 0.4484 | 0.4740 | 45 | 1.2457 | 2348744 |
| 0.403 | 0.5267 | 50 | 1.2346 | 2610176 |
| 0.3899 | 0.5793 | 55 | 1.2224 | 2873528 |
| 0.3705 | 0.6320 | 60 | 1.2227 | 3133328 |
| 0.3662 | 0.6847 | 65 | 1.2187 | 3395112 |
| 0.3322 | 0.7373 | 70 | 1.2076 | 3656104 |
| 0.3614 | 0.7900 | 75 | 1.2070 | 3917544 |
| 0.3462 | 0.8427 | 80 | 1.2021 | 4174120 |
| 0.3258 | 0.8953 | 85 | 1.2061 | 4437136 |
| 0.3069 | 0.9480 | 90 | 1.2061 | 4699512 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1