Downloads · 30 days
12
28% of all-time downloads
banglat5-headline_WithIp_Sentiment_Only
mdosama39/banglat5-headline_WithIp_Sentiment_Only
banglat5-headline_WithIp_Sentiment_Only is a machine learning model from mdosama39. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
All-time downloads
43
Public
Parameters
248M
4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors990 MB · 100%
At a glance
- Model type
- t5
- Access
- Public
- Created
- Aug 12, 2024
- Updated
- Aug 12, 2024
- SHA
- a2990d97
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. -->
banglat5-headline_WithIp_Sentiment_Only
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9535
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 2.0
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: 0.0002
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.1723 | 1.0 | 202 | 3.9107 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0471 |
| 2.2519 | 2.0 | 404 | 3.1393 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0199 |
| 2.3775 | 3.0 | 606 | 3.0375 | 0.0 | 0.0 | 0.0 | 0.0 | 1.995 |
| 1.9747 | 4.0 | 808 | 2.9535 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- t5
- Created
- Aug 12, 2024
- Updated
- Aug 12, 2024