Downloads · 30 days
6
19% of all-time downloads
t5-nepali-lora
MKCL/t5-nepali-lora
t5-nepali-lora is a machine learning model from MKCL. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
31
Public
Repo size
27.6 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.json16.4 MB · 70%
At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 31, 2025
- Updated
- Aug 1, 2025
- SHA
- f173e3ea
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. -->
t5-nepali-lora
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Score: 0.0
- Counts: [0, 0, 0, 0]
- Totals: [1000, 0, 0, 0]
- Precisions: [0.0, 0.0, 0.0, 0.0]
- Bp: 0.0000
- Sys Len: 1000
- Ref Len: 20184
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Score | Counts | Totals | Precisions | Bp | Sys Len | Ref Len |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.0 | 1.0 | 1125 | nan | 0.0 | [0, 0, 0, 0] | [1000, 0, 0, 0] | [0.0, 0.0, 0.0, 0.0] | 0.0000 | 1000 | 20184 |
| 0.0 | 2.0 | 2250 | nan | 0.0 | [0, 0, 0, 0] | [1000, 0, 0, 0] | [0.0, 0.0, 0.0, 0.0] | 0.0000 | 1000 | 20184 |
| 0.0 | 3.0 | 3375 | nan | 0.0 | [0, 0, 0, 0] | [1000, 0, 0, 0] | [0.0, 0.0, 0.0, 0.0] | 0.0000 | 1000 | 20184 |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Library
- peft
- License
- apache-2.0
- Created
- Jul 31, 2025
- Updated
- Aug 1, 2025