Downloads · 30 days
12
23% of all-time downloads
mystv0_abbs
mteverst/mystv0_abbs
mystv0_abbs is a text generation model from mteverst. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
53
Public
Repo size
29.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin498 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Oct 23, 2023
- Updated
- Oct 24, 2023
- SHA
- 3e5d244b
Try a prompt
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. -->
mystv0_abbs
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8311
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 200
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3179 | 5.12 | 1000 | 1.4846 |
| 1.0028 | 10.24 | 2000 | 1.3123 |
| 0.997 | 15.36 | 3000 | 1.4747 |
| 0.9951 | 20.47 | 4000 | 1.5312 |
| 0.9936 | 25.59 | 5000 | 1.5280 |
| 0.9922 | 30.71 | 6000 | 1.6307 |
| 0.9906 | 35.83 | 7000 | 1.5866 |
| 0.9907 | 40.95 | 8000 | 1.5732 |
| 0.989 | 46.07 | 9000 | 1.4607 |
| 0.9883 | 51.18 | 10000 | 1.4982 |
| 0.9875 | 56.3 | 11000 | 1.4993 |
| 0.9865 | 61.42 | 12000 | 1.6250 |
| 0.9859 | 66.54 | 13000 | 1.5613 |
| 0.9847 | 71.66 | 14000 | 1.7067 |
| 0.9841 | 76.78 | 15000 | 1.6076 |
| 0.9833 | 81.89 | 16000 | 1.6163 |
| 0.9824 | 87.01 | 17000 | 1.6662 |
| 0.9813 | 92.13 | 18000 | 1.4881 |
| 0.9806 | 97.25 | 19000 | 1.5930 |
| 0.9799 | 102.37 | 20000 | 1.6575 |
| 0.9789 | 107.49 | 21000 | 1.7150 |
| 0.9778 | 112.6 | 22000 | 1.6655 |
| 0.9771 | 117.72 | 23000 | 1.7227 |
| 0.976 | 122.84 | 24000 | 1.6713 |
| 0.9749 | 127.96 | 25000 | 1.7268 |
| 0.9738 | 133.08 | 26000 | 1.6831 |
| 0.9725 | 138.2 | 27000 | 1.7084 |
| 0.9714 | 143.31 | 28000 | 1.6809 |
| 0.9697 | 148.43 | 29000 | 1.7715 |
| 0.9683 | 153.55 | 30000 | 1.7643 |
| 0.9668 | 158.67 | 31000 | 1.8609 |
| 0.9654 | 163.79 | 32000 | 1.8082 |
| 0.964 | 168.91 | 33000 | 1.8623 |
| 0.9627 | 174.02 | 34000 | 1.8146 |
| 0.9617 | 179.14 | 35000 | 1.8173 |
| 0.9609 | 184.26 | 36000 | 1.8237 |
| 0.9604 | 189.38 | 37000 | 1.8314 |
| 0.9601 | 194.5 | 38000 | 1.8316 |
| 0.96 | 199.62 | 39000 | 1.8311 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.1.0+cu121
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Oct 23, 2023
- Updated
- Oct 24, 2023