Downloads · 30 days
23
5% of all-time downloads
pretrain-gpt2-large
antphb/pretrain-gpt2-large
pretrain-gpt2-large is a text generation model from antphb. 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
436
Public
Repo size
3.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin498 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- gpt2
- Access
- Public
- Created
- Sep 21, 2023
- Updated
- Sep 21, 2023
- SHA
- ae856a2c
Try a prompt
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. -->
pretrain-gpt2-large
This model is a fine-tuned version of NlpHUST/gpt2-vietnamese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4155
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-05
- train_batch_size: 16
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 16
- total_train_batch_size: 512
- total_eval_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 70
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0875 | 13.05 | 500 | 2.6828 |
| 2.5739 | 26.1 | 1000 | 2.5363 |
| 2.4573 | 39.15 | 1500 | 2.4643 |
| 2.3962 | 52.2 | 2000 | 2.4294 |
| 2.3662 | 65.25 | 2500 | 2.4155 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- Created
- Sep 21, 2023
- Updated
- Sep 21, 2023