Downloads · 30 days
9
0% of all-time downloads
pre_response
binayakkoirala/pre_response
pre_response is a machine learning model from binayakkoirala. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
3.8K
Public
Parameters
60.5M
243 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024
- SHA
- 9dcf3f8b
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. -->
pre_response
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1160
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2894 | 1.0 | 1294 | 0.1637 |
| 0.1826 | 2.0 | 2588 | 0.1253 |
| 0.1676 | 3.0 | 3882 | 0.1160 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.4.0+cu118
- Datasets 2.17.0
- Tokenizers 0.15.2
- Type
- t5
- License
- apache-2.0
- Created
- Aug 22, 2024
- Updated
- Aug 22, 2024