metadata
license: gemma
base_model: google/gemma-2b
tags:
- generated_from_trainer
model-index:
- name: G0514HMA8H
results: []
G0514HMA8H
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: -17.7793
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 |
|---|---|---|---|
| 0.9907 | 0.09 | 10 | 0.2549 |
| -0.3452 | 0.18 | 20 | -1.4911 |
| -2.6745 | 0.27 | 30 | -4.3029 |
| -5.5459 | 0.36 | 40 | -7.2444 |
| -8.4583 | 0.45 | 50 | -10.1413 |
| -11.1772 | 0.54 | 60 | -12.6543 |
| -13.5601 | 0.63 | 70 | -14.6708 |
| -15.3021 | 0.73 | 80 | -16.0377 |
| -16.4202 | 0.82 | 90 | -16.8732 |
| -17.0486 | 0.91 | 100 | -17.2545 |
| -17.3372 | 1.0 | 110 | -17.4412 |
| -17.4961 | 1.09 | 120 | -17.5444 |
| -17.5738 | 1.18 | 130 | -17.6050 |
| -17.6197 | 1.27 | 140 | -17.6459 |
| -17.6553 | 1.36 | 150 | -17.6713 |
| -17.6808 | 1.45 | 160 | -17.6919 |
| -17.6964 | 1.54 | 170 | -17.7067 |
| -17.7138 | 1.63 | 180 | -17.7237 |
| -17.7268 | 1.72 | 190 | -17.7349 |
| -17.7396 | 1.81 | 200 | -17.7434 |
| -17.7455 | 1.9 | 210 | -17.7509 |
| -17.7517 | 1.99 | 220 | -17.7574 |
| -17.7593 | 2.08 | 230 | -17.7623 |
| -17.7681 | 2.18 | 240 | -17.7664 |
| -17.7669 | 2.27 | 250 | -17.7696 |
| -17.7705 | 2.36 | 260 | -17.7729 |
| -17.7774 | 2.45 | 270 | -17.7750 |
| -17.7756 | 2.54 | 280 | -17.7766 |
| -17.7797 | 2.63 | 290 | -17.7777 |
| -17.7804 | 2.72 | 300 | -17.7787 |
| -17.7775 | 2.81 | 310 | -17.7792 |
| -17.7822 | 2.9 | 320 | -17.7793 |
| -17.7813 | 2.99 | 330 | -17.7793 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0