metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter6_sftsd1
results: []
collapse_gemma-2-2b_hs2_replace_iter6_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: 2.4776
- Num Input Tokens Seen: 4931704
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 |
| 1.5189 | 0.0513 | 5 | 1.2749 | 258200 |
| 0.9714 | 0.1026 | 10 | 1.2495 | 517512 |
| 0.6202 | 0.1539 | 15 | 1.4088 | 775024 |
| 0.3538 | 0.2053 | 20 | 1.6032 | 1026560 |
| 0.2158 | 0.2566 | 25 | 1.8219 | 1270944 |
| 0.1167 | 0.3079 | 30 | 2.0376 | 1527480 |
| 0.0654 | 0.3592 | 35 | 2.2660 | 1777448 |
| 0.0393 | 0.4105 | 40 | 2.3894 | 2029984 |
| 0.031 | 0.4618 | 45 | 2.4278 | 2278552 |
| 0.0292 | 0.5131 | 50 | 2.4650 | 2534640 |
| 0.0258 | 0.5645 | 55 | 2.4896 | 2783408 |
| 0.0255 | 0.6158 | 60 | 2.4676 | 3035384 |
| 0.0235 | 0.6671 | 65 | 2.4426 | 3294576 |
| 0.0249 | 0.7184 | 70 | 2.4442 | 3548680 |
| 0.0231 | 0.7697 | 75 | 2.4505 | 3807912 |
| 0.0249 | 0.8210 | 80 | 2.4582 | 4065352 |
| 0.0225 | 0.8724 | 85 | 2.4512 | 4318600 |
| 0.0216 | 0.9237 | 90 | 2.4613 | 4577512 |
| 0.021 | 0.9750 | 95 | 2.4749 | 4833752 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1