metadata
license: gemma
base_model: google/gemma-2-2b
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: collapse_gemma-2-2b_hs2_replace_iter8_sftsd2
results: []
collapse_gemma-2-2b_hs2_replace_iter8_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: 2.5160
- Num Input Tokens Seen: 4690368
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 |
| 1.6266 | 0.0511 | 5 | 1.2779 | 235280 |
| 0.9347 | 0.1021 | 10 | 1.2886 | 475376 |
| 0.4911 | 0.1532 | 15 | 1.4993 | 716736 |
| 0.186 | 0.2042 | 20 | 1.7498 | 957152 |
| 0.1313 | 0.2553 | 25 | 1.9671 | 1198616 |
| 0.0834 | 0.3063 | 30 | 2.1763 | 1438792 |
| 0.0339 | 0.3574 | 35 | 2.2526 | 1680696 |
| 0.0429 | 0.4084 | 40 | 2.3952 | 1923576 |
| 0.0276 | 0.4595 | 45 | 2.4498 | 2170944 |
| 0.0286 | 0.5105 | 50 | 2.4620 | 2412248 |
| 0.0248 | 0.5616 | 55 | 2.4851 | 2656800 |
| 0.0245 | 0.6126 | 60 | 2.4803 | 2896688 |
| 0.0223 | 0.6637 | 65 | 2.4790 | 3133576 |
| 0.0237 | 0.7147 | 70 | 2.4814 | 3379344 |
| 0.0232 | 0.7658 | 75 | 2.4871 | 3623816 |
| 0.0267 | 0.8168 | 80 | 2.4882 | 3864024 |
| 0.0206 | 0.8679 | 85 | 2.4975 | 4105224 |
| 0.0218 | 0.9190 | 90 | 2.5140 | 4349992 |
| 0.023 | 0.9700 | 95 | 2.5206 | 4592336 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1