Downloads · 30 days
15
24% of all-time downloads
ml_sum_v1
mHossain/ml_sum_v1
ml_sum_v1 is a machine learning model from mHossain. 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
63
Public
Parameters
223M
1.8 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors892 MB · 100%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Mar 2, 2024
- Updated
- Mar 2, 2024
- SHA
- 87b326c6
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. -->
ml_sum_v1
This model is a fine-tuned version of mHossain/Albaniani_sum_v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2080
- Rouge1: 6.9869
- Rouge2: 2.6256
- Rougel: 6.4271
- Rougelsum: 6.8073
- Gen Len: 19.0
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 312 | 2.5009 | 5.4872 | 1.8136 | 5.032 | 5.3296 | 18.985 |
| 3.2952 | 2.0 | 624 | 2.2080 | 6.9869 | 2.6256 | 6.4271 | 6.8073 | 19.0 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Created
- Mar 2, 2024
- Updated
- Mar 2, 2024