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G0514BMA5b
Litzy619/G0514BMA5b
G0514BMA5b is a machine learning model from Litzy619. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
Access
Public
Updated May 15, 2024
Parameters
2.5B
10.1 GB on disk
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At a glance
- License
- gemma
- Access
- Public
- Created
- May 14, 2024
- Updated
- May 15, 2024
- SHA
- e61e9a5f
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
G0514BMA5b
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: -17.5764
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: 80
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| -0.1378 | 0.09 | 10 | -0.4063 |
| -0.7754 | 0.18 | 20 | -1.3256 |
| -1.8887 | 0.27 | 30 | -2.7074 |
| -3.4996 | 0.36 | 40 | -4.6101 |
| -5.6334 | 0.45 | 50 | -7.0234 |
| -8.1253 | 0.54 | 60 | -9.6448 |
| -10.8034 | 0.63 | 70 | -12.2239 |
| -13.2442 | 0.73 | 80 | -14.4267 |
| -15.137 | 0.82 | 90 | -15.8906 |
| -16.2451 | 0.91 | 100 | -16.5978 |
| -16.7446 | 1.0 | 110 | -16.9186 |
| -17.0061 | 1.09 | 120 | -17.0987 |
| -17.1516 | 1.18 | 130 | -17.2214 |
| -17.2598 | 1.27 | 140 | -17.3048 |
| -17.3215 | 1.36 | 150 | -17.3631 |
| -17.3805 | 1.45 | 160 | -17.4073 |
| -17.4204 | 1.54 | 170 | -17.4427 |
| -17.455 | 1.63 | 180 | -17.4700 |
| -17.4781 | 1.72 | 190 | -17.4923 |
| -17.501 | 1.81 | 200 | -17.5113 |
| -17.5135 | 1.9 | 210 | -17.5260 |
| -17.5294 | 1.99 | 220 | -17.5379 |
| -17.5391 | 2.08 | 230 | -17.5475 |
| -17.5526 | 2.18 | 240 | -17.5551 |
| -17.5589 | 2.27 | 250 | -17.5616 |
| -17.5631 | 2.36 | 260 | -17.5665 |
| -17.5685 | 2.45 | 270 | -17.5701 |
| -17.5727 | 2.54 | 280 | -17.5724 |
| -17.5698 | 2.63 | 290 | -17.5743 |
| -17.5709 | 2.72 | 300 | -17.5755 |
| -17.5732 | 2.81 | 310 | -17.5761 |
| -17.5761 | 2.9 | 320 | -17.5764 |
| -17.5794 | 2.99 | 330 | -17.5764 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.0
- License
- gemma
- Created
- May 14, 2024
- Updated
- May 15, 2024