metadata
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA16H
results: []
G0514HMA16H
This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: -17.8971
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.9162 | 0.09 | 10 | 0.0830 |
| -0.7664 | 0.18 | 20 | -2.0466 |
| -3.27 | 0.27 | 30 | -4.9484 |
| -6.242 | 0.36 | 40 | -7.9963 |
| -9.1799 | 0.45 | 50 | -10.7742 |
| -11.7646 | 0.54 | 60 | -13.2319 |
| -14.1063 | 0.63 | 70 | -15.1473 |
| -15.7143 | 0.73 | 80 | -16.3945 |
| -16.7127 | 0.82 | 90 | -17.0741 |
| -17.2299 | 0.91 | 100 | -17.4041 |
| -17.4683 | 1.0 | 110 | -17.5479 |
| -17.5857 | 1.09 | 120 | -17.6235 |
| -17.6418 | 1.18 | 130 | -17.6631 |
| -17.6771 | 1.27 | 140 | -17.6957 |
| -17.703 | 1.36 | 150 | -17.7160 |
| -17.7218 | 1.45 | 160 | -17.7272 |
| -17.7369 | 1.54 | 170 | -17.7463 |
| -17.7561 | 1.63 | 180 | -17.7646 |
| -17.7704 | 1.72 | 190 | -17.7808 |
| -17.7897 | 1.81 | 200 | -17.7972 |
| -17.8056 | 1.9 | 210 | -17.8223 |
| -17.8326 | 1.99 | 220 | -17.8447 |
| -17.8508 | 2.08 | 230 | -17.8658 |
| -17.8699 | 2.18 | 240 | -17.8773 |
| -17.8777 | 2.27 | 250 | -17.8862 |
| -17.8827 | 2.36 | 260 | -17.8912 |
| -17.889 | 2.45 | 270 | -17.8936 |
| -17.8917 | 2.54 | 280 | -17.8948 |
| -17.8936 | 2.63 | 290 | -17.8942 |
| -17.8949 | 2.72 | 300 | -17.8967 |
| -17.8934 | 2.81 | 310 | -17.8970 |
| -17.8964 | 2.9 | 320 | -17.8971 |
| -17.8956 | 2.99 | 330 | -17.8971 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0