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V0408MP6
Litzy619/V0408MP6
V0408MP6 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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Updated Apr 9, 2024
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5.9 GB on disk
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.safetensors5.7 GB · 97%
Parameter types
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F162.8B · 98%
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. -->
V0408MP6
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: 0.2973
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: 20
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.1578 | 0.09 | 10 | 5.4708 |
| 5.3721 | 0.18 | 20 | 4.6279 |
| 3.968 | 0.27 | 30 | 3.4562 |
| 2.7382 | 0.36 | 40 | 2.5521 |
| 1.863 | 0.45 | 50 | 1.9953 |
| 1.3779 | 0.54 | 60 | 1.6314 |
| 1.0695 | 0.63 | 70 | 1.3712 |
| 0.8284 | 0.73 | 80 | 1.1788 |
| 0.6698 | 0.82 | 90 | 1.0471 |
| 0.5725 | 0.91 | 100 | 0.9459 |
| 0.4905 | 1.0 | 110 | 0.8649 |
| 0.961 | 1.09 | 120 | 0.5360 |
| 0.7176 | 1.18 | 130 | 0.4220 |
| 0.6284 | 1.27 | 140 | 0.3701 |
| 0.5176 | 1.36 | 150 | 0.3409 |
| 0.4973 | 1.45 | 160 | 0.3233 |
| 0.4747 | 1.54 | 170 | 0.3122 |
| 0.4566 | 1.63 | 180 | 0.3043 |
| 0.4338 | 1.72 | 190 | 0.3002 |
| 0.4333 | 1.81 | 200 | 0.2983 |
| 0.4315 | 1.9 | 210 | 0.2976 |
| 0.4348 | 1.99 | 220 | 0.2973 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- mit
- Created
- Apr 9, 2024
- Updated
- Apr 9, 2024