Downloads · 30 days
14
0% of all-time downloads
model_neuroplay
RichelieuGVG/model_neuroplay
model_neuroplay is a text generation model from RichelieuGVG. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
4.8K
Public
Repo size
3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin1.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Oct 16, 2022
- Updated
- Oct 16, 2022
- SHA
- 4f884b4a
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. -->
cont_medium_4_256
This model is a fine-tuned version of sberbank-ai/rugpt3medium_based_on_gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.7602
- Accuracy: 0.3436
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: 1.5e-05
- train_batch_size: 6
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.4091 | 1.0 | 160 | 3.7238 | 0.3472 |
| 3.2338 | 2.0 | 320 | 3.7393 | 0.3446 |
| 3.1684 | 3.0 | 480 | 3.7518 | 0.3444 |
| 3.0989 | 4.0 | 640 | 3.7602 | 0.3436 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.8.1+cu111
- Datasets 2.5.2
- Tokenizers 0.13.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Oct 16, 2022
- Updated
- Oct 16, 2022