Downloads · 30 days
7
2% of all-time downloads
xl_sum_model_1
MeetK/xl_sum_model_1
xl_sum_model_1 is a machine learning model from MeetK. 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.
should probably proofread and complete it, then remove this comment. --
All-time downloads
288
Public
Parameters
300M
4.1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1.2 GB · 99%
At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Dec 5, 2023
- Updated
- Dec 5, 2023
- SHA
- 4f1dc899
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. -->
xl_sum_model_1
This model is a fine-tuned version of MurkatG/review-summarizer-en on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3552
- Rouge1: 0.2056
- Rouge2: 0.0331
- Rougel: 0.1587
- Rougelsum: 0.1587
- Gen Len: 18.844
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: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.5212 | 1.0 | 625 | 3.4162 | 0.1983 | 0.0327 | 0.1559 | 0.1561 | 18.819 |
| 4.3017 | 2.0 | 1250 | 3.3552 | 0.2056 | 0.0331 | 0.1587 | 0.1587 | 18.844 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cpu
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- transformers
- Type
- mt5
- Created
- Dec 5, 2023
- Updated
- Dec 5, 2023