Downloads · 30 days
90
8% of all-time downloads
coedit-small
jbochi/coedit-small
coedit-small is a machine learning model from jbochi. 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 transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.1K
Public
Parameters
77M
12.6 GB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors308 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 15, 2023
- Updated
- Dec 11, 2023
- SHA
- 6ce9822b
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. -->
coedit-small
This model is a fine-tuned version of google/flan-t5-small on the CoEdIT dataset. It achieves the following results on the evaluation set:
- Loss: 0.8242
- Rouge1: 58.7504
- Rouge2: 45.1374
- Rougel: 55.4161
- Rougelsum: 55.4599
- Gen Len: 16.5245
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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.9482 | 1.0 | 4317 | 0.8878 | 58.4501 | 44.2623 | 54.4468 | 54.51 | 16.5088 |
| 0.9155 | 2.0 | 8634 | 0.8485 | 58.6609 | 44.7759 | 54.9844 | 55.0503 | 16.5339 |
| 0.8964 | 3.0 | 12951 | 0.8402 | 58.712 | 44.9838 | 55.2171 | 55.2697 | 16.5251 |
| 0.9049 | 4.0 | 17268 | 0.8305 | 58.7767 | 45.1325 | 55.3955 | 55.4522 | 16.5181 |
| 0.8948 | 5.0 | 21585 | 0.8242 | 58.7504 | 45.1374 | 55.4161 | 55.4599 | 16.5245 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- Nov 15, 2023
- Updated
- Dec 11, 2023