Downloads · 30 days
9
29% of all-time downloads
wsdbanglat5_2e4_D1
sajjad55/wsdbanglat5_2e4_D1
wsdbanglat5_2e4_D1 is a machine learning model from sajjad55. 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
31
Public
Parameters
257M
1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors1 GB · 100%
At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024
- SHA
- 4ea124da
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. -->
wsdbanglat5_2e4_D1
This model is a fine-tuned version of ka05ar/Banglat5_Dx1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 1481 | nan |
| 0.0 | 2.0 | 2962 | nan |
| 0.0 | 3.0 | 4443 | nan |
| 0.0 | 4.0 | 5924 | nan |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- t5
- Created
- Jun 10, 2024
- Updated
- Jun 10, 2024