metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter19_sftsd0
results: []
collapse_gemma-2-2b_hs2_replace_iter19_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: 2.6879
- Num Input Tokens Seen: 4457712
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 |
| 1.4638 | 0.0511 | 5 | 1.2821 | 233808 |
| 0.7283 | 0.1022 | 10 | 1.3806 | 468336 |
| 0.3747 | 0.1533 | 15 | 1.6459 | 702960 |
| 0.2055 | 0.2043 | 20 | 1.8690 | 932896 |
| 0.1423 | 0.2554 | 25 | 2.1258 | 1154072 |
| 0.0546 | 0.3065 | 30 | 2.2993 | 1386840 |
| 0.037 | 0.3576 | 35 | 2.4683 | 1615120 |
| 0.0267 | 0.4087 | 40 | 2.5698 | 1842904 |
| 0.0257 | 0.4598 | 45 | 2.6469 | 2075912 |
| 0.0253 | 0.5109 | 50 | 2.6736 | 2302096 |
| 0.0224 | 0.5619 | 55 | 2.6900 | 2534784 |
| 0.0239 | 0.6130 | 60 | 2.6892 | 2764288 |
| 0.023 | 0.6641 | 65 | 2.6803 | 2994536 |
| 0.023 | 0.7152 | 70 | 2.6896 | 3222064 |
| 0.0235 | 0.7663 | 75 | 2.6908 | 3452832 |
| 0.0221 | 0.8174 | 80 | 2.6687 | 3686848 |
| 0.022 | 0.8685 | 85 | 2.6683 | 3918480 |
| 0.0229 | 0.9195 | 90 | 2.6810 | 4142336 |
| 0.0222 | 0.9706 | 95 | 2.6850 | 4367928 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1