Downloads · 30 days
6
11% of all-time downloads
t5-base-full-finetune-tweetsumm
samuellimabraz/t5-base-full-finetune-tweetsumm
t5-base-full-finetune-tweetsumm is a machine learning model from samuellimabraz. 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
54
Public
Parameters
223M
892 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors892 MB · 100%
At a glance
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024
- SHA
- 2d37a420
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. -->
t5-base-Full-TweetSumm-1724683206
This model is a fine-tuned version of google-t5/t5-base on the Andyrasika/TweetSumm-tuned dataset. It achieves the following results on the evaluation set:
- Loss: 1.8697
- Rouge1: 0.4709
- Rouge2: 0.2223
- Rougel: 0.3999
- Rougelsum: 0.4391
- Gen Len: 41.8455
- F1: 0.8952
- Precision: 0.8934
- Recall: 0.8971
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: 0.0005
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2.2928 | 1.0 | 220 | 1.8094 | 0.466 | 0.2146 | 0.3912 | 0.4301 | 41.9182 | 0.891 | 0.8891 | 0.8931 |
| 1.2939 | 2.0 | 440 | 1.7929 | 0.4605 | 0.2125 | 0.3897 | 0.4259 | 42.0 | 0.8928 | 0.8914 | 0.8944 |
| 0.7227 | 3.0 | 660 | 1.8697 | 0.4709 | 0.2223 | 0.3999 | 0.4391 | 41.8455 | 0.8952 | 0.8934 | 0.8971 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- t5
- License
- apache-2.0
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024