Downloads · 30 days
35
32% of all-time downloads
my_awesome_eli5_clm-model
Gaoussou/my_awesome_eli5_clm-model
my_awesome_eli5_clm-model is a text generation model from Gaoussou. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
109
Public
Parameters
81.9M
2.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors328 MB · 99%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025
- SHA
- 683487a0
Try a prompt
Base models
Datasets
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. -->
my_awesome_eli5_clm-model
This model is a fine-tuned version of distilbert/distilgpt2 on the eli5_category dataset. It achieves the following results on the evaluation set:
- Loss: 6.4787
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.8111 | 1.0 | 1316 | 6.6858 |
| 6.4915 | 2.0 | 2632 | 6.5249 |
| 6.4115 | 3.0 | 3948 | 6.4787 |
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 3.6.0
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Oct 2, 2025
- Updated
- Oct 2, 2025