metadata
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA9H
results: []
G0514HMA9H
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: -17.8302
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 |
|---|---|---|---|
| 0.9517 | 0.09 | 10 | 0.1638 |
| -0.6528 | 0.18 | 20 | -1.9084 |
| -3.1267 | 0.27 | 30 | -4.7902 |
| -6.0596 | 0.36 | 40 | -7.8054 |
| -9.0118 | 0.45 | 50 | -10.6366 |
| -11.6312 | 0.54 | 60 | -13.0868 |
| -13.9766 | 0.63 | 70 | -15.0345 |
| -15.6124 | 0.73 | 80 | -16.3032 |
| -16.6378 | 0.82 | 90 | -17.0207 |
| -17.1714 | 0.91 | 100 | -17.3497 |
| -17.4216 | 1.0 | 110 | -17.5126 |
| -17.5543 | 1.09 | 120 | -17.5999 |
| -17.6217 | 1.18 | 130 | -17.6473 |
| -17.6609 | 1.27 | 140 | -17.6818 |
| -17.6899 | 1.36 | 150 | -17.7041 |
| -17.7101 | 1.45 | 160 | -17.7147 |
| -17.7215 | 1.54 | 170 | -17.7306 |
| -17.7352 | 1.63 | 180 | -17.7425 |
| -17.7484 | 1.72 | 190 | -17.7559 |
| -17.7629 | 1.81 | 200 | -17.7670 |
| -17.77 | 1.9 | 210 | -17.7756 |
| -17.7798 | 1.99 | 220 | -17.7847 |
| -17.7898 | 2.08 | 230 | -17.7911 |
| -17.799 | 2.18 | 240 | -17.7988 |
| -17.8001 | 2.27 | 250 | -17.8040 |
| -17.807 | 2.36 | 260 | -17.8101 |
| -17.8173 | 2.45 | 270 | -17.8156 |
| -17.8186 | 2.54 | 280 | -17.8207 |
| -17.8237 | 2.63 | 290 | -17.8248 |
| -17.8266 | 2.72 | 300 | -17.8279 |
| -17.8269 | 2.81 | 310 | -17.8294 |
| -17.8338 | 2.9 | 320 | -17.8301 |
| -17.831 | 2.99 | 330 | -17.8302 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0