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0504LayerAnalysis0
Litzy619/0504LayerAnalysis0
0504LayerAnalysis0 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 mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated May 4, 2024
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2.8B
5.6 GB on disk
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.safetensors5.6 GB · 100%
Parameter types
How the weights are stored.
F162.8B · 100%
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
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0504LayerAnalysis0
This model is a fine-tuned version of microsoft/phi-2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0700
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: 60
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6808 | 0.09 | 10 | 2.3991 |
| 2.2562 | 0.18 | 20 | 1.8687 |
| 1.6693 | 0.27 | 30 | 1.1433 |
| 0.7779 | 0.36 | 40 | 0.1904 |
| 0.1939 | 0.45 | 50 | 0.1305 |
| 0.1477 | 0.54 | 60 | 0.1201 |
| 0.1238 | 0.63 | 70 | 0.1051 |
| 0.1177 | 0.73 | 80 | 0.0943 |
| 0.1079 | 0.82 | 90 | 0.0884 |
| 0.0976 | 0.91 | 100 | 0.0823 |
| 0.0965 | 1.0 | 110 | 0.0798 |
| 0.0891 | 1.09 | 120 | 0.0785 |
| 0.0877 | 1.18 | 130 | 0.0771 |
| 0.0912 | 1.27 | 140 | 0.0751 |
| 0.0841 | 1.36 | 150 | 0.0745 |
| 0.0865 | 1.45 | 160 | 0.0741 |
| 0.0868 | 1.54 | 170 | 0.0736 |
| 0.0847 | 1.63 | 180 | 0.0740 |
| 0.0822 | 1.72 | 190 | 0.0725 |
| 0.0863 | 1.81 | 200 | 0.0718 |
| 0.0784 | 1.9 | 210 | 0.0712 |
| 0.0797 | 1.99 | 220 | 0.0716 |
| 0.0799 | 2.08 | 230 | 0.0712 |
| 0.0796 | 2.18 | 240 | 0.0707 |
| 0.0758 | 2.27 | 250 | 0.0707 |
| 0.0794 | 2.36 | 260 | 0.0705 |
| 0.079 | 2.45 | 270 | 0.0703 |
| 0.0742 | 2.54 | 280 | 0.0703 |
| 0.0726 | 2.63 | 290 | 0.0703 |
| 0.0754 | 2.72 | 300 | 0.0702 |
| 0.0806 | 2.81 | 310 | 0.0700 |
| 0.0753 | 2.9 | 320 | 0.0701 |
| 0.0802 | 2.99 | 330 | 0.0700 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- mit
- Created
- May 4, 2024
- Updated
- May 4, 2024