metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter18_sftsd1
results: []
collapse_gemma-2-2b_hs2_replace_iter18_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: 2.5445
- Num Input Tokens Seen: 4524632
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 |
| 1.462 | 0.0511 | 5 | 1.2773 | 238088 |
| 0.8829 | 0.1021 | 10 | 1.2972 | 475032 |
| 0.4981 | 0.1532 | 15 | 1.5077 | 699248 |
| 0.3365 | 0.2042 | 20 | 1.6826 | 928128 |
| 0.1539 | 0.2553 | 25 | 1.9020 | 1160416 |
| 0.1165 | 0.3063 | 30 | 2.1476 | 1400368 |
| 0.0497 | 0.3574 | 35 | 2.2795 | 1625064 |
| 0.0301 | 0.4084 | 40 | 2.4279 | 1861016 |
| 0.0261 | 0.4595 | 45 | 2.5046 | 2095384 |
| 0.0258 | 0.5105 | 50 | 2.5742 | 2323472 |
| 0.0317 | 0.5616 | 55 | 2.5833 | 2562512 |
| 0.028 | 0.6126 | 60 | 2.6027 | 2786488 |
| 0.0243 | 0.6637 | 65 | 2.5843 | 3015672 |
| 0.0258 | 0.7147 | 70 | 2.5825 | 3252176 |
| 0.0254 | 0.7658 | 75 | 2.5659 | 3483824 |
| 0.0241 | 0.8168 | 80 | 2.5607 | 3724008 |
| 0.0229 | 0.8679 | 85 | 2.5589 | 3960312 |
| 0.0248 | 0.9190 | 90 | 2.5480 | 4198040 |
| 0.0236 | 0.9700 | 95 | 2.5445 | 4434000 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1