Downloads · 30 days
7
2% of all-time downloads
dalio-1.3b-test
AlekseyKorshuk/dalio-1.3b-test
dalio-1.3b-test is a text generation model from AlekseyKorshuk. 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. --
All-time downloads
300
Public
Repo size
13.2 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin2.6 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- other
- Model type
- opt
- Access
- Public
- Created
- Nov 8, 2022
- Updated
- Nov 9, 2022
- SHA
- 3951ee6e
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. -->
dalio-1.3b-test
This model is a fine-tuned version of facebook/opt-1.3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6035
- Accuracy: 0.0672
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 2.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.6133 | 0.08 | 1 | 2.625 | 0.0652 |
| 2.6199 | 0.15 | 2 | 2.625 | 0.0652 |
| 2.7202 | 0.23 | 3 | 2.6113 | 0.0658 |
| 2.6177 | 0.31 | 4 | 2.6113 | 0.0658 |
| 2.5422 | 0.38 | 5 | 2.5703 | 0.0661 |
| 2.5627 | 0.46 | 6 | 2.5566 | 0.0662 |
| 2.5784 | 0.54 | 7 | 2.5469 | 0.0664 |
| 2.5264 | 0.62 | 8 | 2.5371 | 0.0663 |
| 2.3396 | 0.69 | 9 | 2.5332 | 0.0670 |
| 2.4297 | 0.77 | 10 | 2.5273 | 0.0673 |
| 2.3914 | 0.85 | 11 | 2.5234 | 0.0672 |
| 2.429 | 0.92 | 12 | 2.5195 | 0.0671 |
| 2.3055 | 1.0 | 13 | 2.5117 | 0.0672 |
| 1.7162 | 1.08 | 14 | 2.5215 | 0.0672 |
| 1.7264 | 1.15 | 15 | 2.5469 | 0.0677 |
| 1.7559 | 1.23 | 16 | 2.5879 | 0.0671 |
| 1.7899 | 1.31 | 17 | 2.6113 | 0.0667 |
| 1.6465 | 1.38 | 18 | 2.6191 | 0.0666 |
| 1.5955 | 1.46 | 19 | 2.6074 | 0.0671 |
| 1.5389 | 1.54 | 20 | 2.5957 | 0.0672 |
| 1.5356 | 1.62 | 21 | 2.5859 | 0.0670 |
| 1.386 | 1.69 | 22 | 2.5820 | 0.0672 |
| 1.7698 | 1.77 | 23 | 2.5742 | 0.0670 |
| 1.3923 | 1.85 | 24 | 2.5801 | 0.0669 |
| 1.4723 | 1.92 | 25 | 2.5898 | 0.0672 |
| 1.5653 | 2.0 | 26 | 2.6035 | 0.0672 |
Framework versions
- Transformers 4.25.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Task
- Text Generation
- Library
- transformers
- Type
- opt
- License
- other
- Created
- Nov 8, 2022
- Updated
- Nov 9, 2022