metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter14_sftsd0
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter14_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: 1.2169
- Num Input Tokens Seen: 4987864
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 |
| 1.3601 | 0.0537 | 5 | 1.2756 | 273168 |
| 1.0514 | 0.1075 | 10 | 1.2201 | 542832 |
| 0.8862 | 0.1612 | 15 | 1.2153 | 806384 |
| 0.7575 | 0.2149 | 20 | 1.2508 | 1072264 |
| 0.8064 | 0.2686 | 25 | 1.2672 | 1345384 |
| 0.7043 | 0.3224 | 30 | 1.2443 | 1610128 |
| 0.7069 | 0.3761 | 35 | 1.2386 | 1880920 |
| 0.5027 | 0.4298 | 40 | 1.2439 | 2148696 |
| 0.5934 | 0.4835 | 45 | 1.2404 | 2411376 |
| 0.5024 | 0.5373 | 50 | 1.2125 | 2683616 |
| 0.4872 | 0.5910 | 55 | 1.2366 | 2946376 |
| 0.4414 | 0.6447 | 60 | 1.2230 | 3215768 |
| 0.5175 | 0.6985 | 65 | 1.2200 | 3485104 |
| 0.4704 | 0.7522 | 70 | 1.2172 | 3752080 |
| 0.5442 | 0.8059 | 75 | 1.2149 | 4021976 |
| 0.4186 | 0.8596 | 80 | 1.2177 | 4295184 |
| 0.458 | 0.9134 | 85 | 1.2097 | 4559664 |
| 0.4203 | 0.9671 | 90 | 1.2142 | 4823808 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1