|
--- |
|
base_model: csebuetnlp/banglat5 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- rouge |
|
model-index: |
|
- name: banglat5-headline_WithIp-b8-1e-4 |
|
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. --> |
|
|
|
# banglat5-headline_WithIp-b8-1e-4 |
|
|
|
This model is a fine-tuned version of [csebuetnlp/banglat5](https://huggingface.co/csebuetnlp/banglat5) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.9335 |
|
- Rouge1: 0.0 |
|
- Rouge2: 0.0 |
|
- Rougel: 0.0 |
|
- Rougelsum: 0.0 |
|
- Gen Len: 8.861 |
|
|
|
## 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: 0.0001 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
|
| 4.5814 | 1.0 | 202 | 3.4611 | 0.0 | 0.0 | 0.0 | 0.0 | 11.9231 | |
|
| 3.4664 | 2.0 | 404 | 3.0551 | 0.0 | 0.0 | 0.0 | 0.0 | 8.335 | |
|
| 3.5643 | 3.0 | 606 | 2.9732 | 0.0 | 0.0 | 0.0 | 0.0 | 8.871 | |
|
| 2.9927 | 4.0 | 808 | 2.9406 | 0.0 | 0.0 | 0.0 | 0.0 | 8.6774 | |
|
| 3.0685 | 5.0 | 1010 | 2.9335 | 0.0 | 0.0 | 0.0 | 0.0 | 8.861 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.2 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.1 |
|
- Tokenizers 0.19.1 |
|
|