Downloads · 30 days
9
28% of all-time downloads
my_awesome_samsum_model
Baharak/my_awesome_samsum_model
my_awesome_samsum_model is a machine learning model from Baharak. 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
32
Public
Parameters
60.5M
1.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors242 MB · 99%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Jan 30, 2024
- Updated
- Jan 30, 2024
- SHA
- 155c51db
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. -->
my_awesome_samsum_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8424
- Rouge1: 0.3967
- Rouge2: 0.166
- Rougel: 0.3285
- Rougelsum: 0.3282
- Gen Len: 16.5446
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.2768 | 1.0 | 737 | 1.9087 | 0.384 | 0.1547 | 0.3169 | 0.3167 | 16.4537 |
| 2.0963 | 2.0 | 1474 | 1.8674 | 0.3922 | 0.1626 | 0.324 | 0.3238 | 16.5019 |
| 2.0261 | 3.0 | 2211 | 1.8470 | 0.3948 | 0.1653 | 0.3273 | 0.327 | 16.528 |
| 2.0048 | 4.0 | 2948 | 1.8424 | 0.3967 | 0.166 | 0.3285 | 0.3282 | 16.5446 |
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Jan 30, 2024
- Updated
- Jan 30, 2024