|
|
--- |
|
|
library_name: peft |
|
|
license: apache-2.0 |
|
|
base_model: google/mt5-small |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: t5-nepali-lora |
|
|
results: [] |
|
|
--- |
|
|
|
|
|
<!-- 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](https://huggingface.co/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 |
