Downloads · 30 days
9
36% of all-time downloads
output_emotion
tr-aravindan/output_emotion
output_emotion is a machine learning model from tr-aravindan. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
25
Public
Repo size
5.4 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json2.9 MB · 60%
At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jan 23, 2024
- Updated
- Feb 1, 2024
- SHA
- 40285534
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. -->
output_emotion
This model is a fine-tuned version of gpt2 on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 7.0852
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 8.5945 | 2.0 | 1800 | 7.5670 |
| 7.7948 | 4.0 | 3600 | 7.0852 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- License
- mit
- Created
- Jan 23, 2024
- Updated
- Feb 1, 2024