metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_accumulatesubsample_iter16_sftsd1
results: []
collapse_gemma-2-2b_hs2_accumulatesubsample_iter16_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: 1.2063
- Num Input Tokens Seen: 4908568
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 |
| 1.384 | 0.0528 | 5 | 1.2748 | 263536 |
| 1.0504 | 0.1055 | 10 | 1.2136 | 521104 |
| 0.9216 | 0.1583 | 15 | 1.2253 | 786688 |
| 0.705 | 0.2111 | 20 | 1.2516 | 1052112 |
| 0.6686 | 0.2639 | 25 | 1.2797 | 1310000 |
| 0.622 | 0.3166 | 30 | 1.2586 | 1569720 |
| 0.5686 | 0.3694 | 35 | 1.2699 | 1830672 |
| 0.4761 | 0.4222 | 40 | 1.2417 | 2099344 |
| 0.4431 | 0.4749 | 45 | 1.2457 | 2362288 |
| 0.4104 | 0.5277 | 50 | 1.2311 | 2622728 |
| 0.4555 | 0.5805 | 55 | 1.2327 | 2882280 |
| 0.3677 | 0.6332 | 60 | 1.2202 | 3140984 |
| 0.32 | 0.6860 | 65 | 1.2245 | 3401624 |
| 0.3617 | 0.7388 | 70 | 1.2184 | 3659992 |
| 0.2982 | 0.7916 | 75 | 1.2144 | 3920072 |
| 0.32 | 0.8443 | 80 | 1.2069 | 4179680 |
| 0.4088 | 0.8971 | 85 | 1.2115 | 4434784 |
| 0.4142 | 0.9499 | 90 | 1.2070 | 4701080 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1