Downloads · 30 days
9
32% of all-time downloads
Fine_tuned_model
Nirwa22/Fine_tuned_model
Fine_tuned_model is a text generation model from Nirwa22. 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
28
Public
Parameters
81.9M
328 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors328 MB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Oct 10, 2024
- Updated
- Oct 10, 2024
- SHA
- b797db7e
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. -->
Fine_tuned_model
This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3064
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 3.3719 |
| No log | 2.0 | 6 | 3.3356 |
| No log | 3.0 | 9 | 3.3165 |
| No log | 4.0 | 12 | 3.3071 |
| No log | 5.0 | 15 | 3.3064 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Oct 10, 2024
- Updated
- Oct 10, 2024