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phi_1_5_KelmTiny
cshulby/phi_1_5_KelmTiny
phi_1_5_KelmTiny is a text generation model from cshulby. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- mixformer-sequential
- Access
- Public
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023
- SHA
- e28b4a73
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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. -->
phi-kelm-out
This model is a fine-tuned version of typeof/phi-1_5 on the Kelm Tiny dataset. It achieves the following results on the evaluation set:
- Loss: 1.0079
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: 3e-06
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 7.8236 | 0.0 | 1 | 5.4714 |
| 4.156 | 0.1 | 995 | 4.0834 |
| 1.9418 | 0.2 | 1990 | 2.8447 |
| 1.8908 | 0.3 | 2985 | 2.2757 |
| 0.7631 | 0.4 | 3980 | 1.8792 |
| 1.0878 | 0.5 | 4975 | 1.4944 |
| 2.1561 | 0.6 | 5970 | 1.3413 |
| 0.452 | 0.7 | 6965 | 1.2682 |
| 2.1017 | 0.8 | 7960 | 1.2247 |
| 0.8352 | 0.9 | 8955 | 1.1999 |
| 5.1122 | 1.0 | 9950 | 1.1778 |
| 1.6136 | 1.1 | 10945 | 1.1515 |
| 2.3537 | 1.2 | 11940 | 1.1364 |
| 0.2987 | 1.3 | 12935 | 1.1391 |
| 0.747 | 1.4 | 13930 | 1.0977 |
| 0.0025 | 1.5 | 14925 | 1.0917 |
| 0.6355 | 1.6 | 15920 | 1.0630 |
| 0.5881 | 1.7 | 16915 | 1.0565 |
| 0.3181 | 1.8 | 17910 | 1.0568 |
| 0.9256 | 1.9 | 18905 | 1.0623 |
| 4.5318 | 2.0 | 19900 | 1.0678 |
| 0.8736 | 2.1 | 20895 | 1.0645 |
| 2.2079 | 2.2 | 21890 | 1.0474 |
| 2.7407 | 2.3 | 22885 | 1.0438 |
| 2.2308 | 2.4 | 23880 | 1.0485 |
| 0.4307 | 2.5 | 24875 | 1.0235 |
| 0.2956 | 2.6 | 25870 | 1.0201 |
| 0.203 | 2.7 | 26865 | 1.0200 |
| 2.2452 | 2.8 | 27860 | 1.0243 |
| 0.942 | 2.9 | 28855 | 1.0289 |
| 0.0069 | 3.0 | 29850 | 1.0181 |
| 3.2121 | 3.1 | 30845 | 1.0235 |
| 1.4533 | 3.2 | 31840 | 1.0127 |
| 0.208 | 3.3 | 32835 | 1.0110 |
| 0.1379 | 3.4 | 33830 | 1.0126 |
| 0.1991 | 3.5 | 34825 | 1.0103 |
| 1.3019 | 3.6 | 35820 | 1.0154 |
| 0.6602 | 3.7 | 36815 | 1.0178 |
| 0.5271 | 3.8 | 37810 | 1.0087 |
| 0.3131 | 3.9 | 38805 | 1.0092 |
| 3.6821 | 4.0 | 39800 | 1.0094 |
| 0.3724 | 4.1 | 40795 | 1.0093 |
| 0.0704 | 4.2 | 41790 | 1.0081 |
| 0.1209 | 4.3 | 42785 | 1.0108 |
| 0.9807 | 4.4 | 43780 | 1.0072 |
| 0.1392 | 4.5 | 44775 | 1.0078 |
| 0.2561 | 4.6 | 45770 | 1.0078 |
| 0.1533 | 4.7 | 46765 | 1.0089 |
| 0.4302 | 4.8 | 47760 | 1.0079 |
| 1.3744 | 4.9 | 48755 | 1.0074 |
| 0.8572 | 5.0 | 49750 | 1.0079 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Task
- Text Generation
- Library
- transformers
- Type
- mixformer-sequential
- License
- other
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023