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G0514HMA2H
Litzy619/G0514HMA2H
G0514HMA2H 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
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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
- a29cb0b0
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. -->
G0514HMA2H
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: -17.7865
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 |
|---|---|---|---|
| 0.9281 | 0.09 | 10 | 0.0810 |
| -0.8728 | 0.18 | 20 | -2.3616 |
| -3.7424 | 0.27 | 30 | -5.5992 |
| -6.9773 | 0.36 | 40 | -8.8629 |
| -10.1201 | 0.45 | 50 | -11.8272 |
| -12.8541 | 0.54 | 60 | -14.2293 |
| -15.0144 | 0.63 | 70 | -15.8856 |
| -16.3327 | 0.73 | 80 | -16.8287 |
| -17.0246 | 0.82 | 90 | -17.2467 |
| -17.335 | 0.91 | 100 | -17.4367 |
| -17.4797 | 1.0 | 110 | -17.5384 |
| -17.5709 | 1.09 | 120 | -17.6024 |
| -17.6217 | 1.18 | 130 | -17.6413 |
| -17.6522 | 1.27 | 140 | -17.6697 |
| -17.6777 | 1.36 | 150 | -17.6893 |
| -17.6963 | 1.45 | 160 | -17.7051 |
| -17.7096 | 1.54 | 170 | -17.7187 |
| -17.7252 | 1.63 | 180 | -17.7321 |
| -17.7353 | 1.72 | 190 | -17.7430 |
| -17.7471 | 1.81 | 200 | -17.7499 |
| -17.751 | 1.9 | 210 | -17.7561 |
| -17.7563 | 1.99 | 220 | -17.7617 |
| -17.7638 | 2.08 | 230 | -17.7659 |
| -17.7726 | 2.18 | 240 | -17.7701 |
| -17.7714 | 2.27 | 250 | -17.7736 |
| -17.7766 | 2.36 | 260 | -17.7772 |
| -17.7823 | 2.45 | 270 | -17.7800 |
| -17.7809 | 2.54 | 280 | -17.7827 |
| -17.7872 | 2.63 | 290 | -17.7841 |
| -17.7876 | 2.72 | 300 | -17.7856 |
| -17.7846 | 2.81 | 310 | -17.7863 |
| -17.7907 | 2.9 | 320 | -17.7865 |
| -17.7901 | 2.99 | 330 | -17.7865 |
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