metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter12_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter12_sftsd2
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: 2.5455
- Num Input Tokens Seen: 4776248
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: 2
- 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 |
| 1.576 | 0.0511 | 5 | 1.2789 | 245968 |
| 0.8863 | 0.1022 | 10 | 1.2945 | 492152 |
| 0.425 | 0.1533 | 15 | 1.5320 | 737520 |
| 0.2379 | 0.2043 | 20 | 1.7713 | 982160 |
| 0.0907 | 0.2554 | 25 | 1.9824 | 1224512 |
| 0.0414 | 0.3065 | 30 | 2.2019 | 1470552 |
| 0.0276 | 0.3576 | 35 | 2.3755 | 1714072 |
| 0.0296 | 0.4087 | 40 | 2.4664 | 1966528 |
| 0.0225 | 0.4598 | 45 | 2.4860 | 2212000 |
| 0.0211 | 0.5109 | 50 | 2.5160 | 2456616 |
| 0.022 | 0.5619 | 55 | 2.5310 | 2704328 |
| 0.0214 | 0.6130 | 60 | 2.5350 | 2960528 |
| 0.0205 | 0.6641 | 65 | 2.5329 | 3202432 |
| 0.021 | 0.7152 | 70 | 2.5373 | 3446344 |
| 0.0201 | 0.7663 | 75 | 2.5473 | 3689160 |
| 0.0216 | 0.8174 | 80 | 2.5416 | 3935112 |
| 0.0194 | 0.8685 | 85 | 2.5472 | 4182704 |
| 0.0209 | 0.9195 | 90 | 2.5474 | 4433736 |
| 0.0213 | 0.9706 | 95 | 2.5460 | 4680728 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1