metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: Model_run_korai_lagbe
results: []
Model_run_korai_lagbe
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.2280
- Bleu: 1.08
- Gen Len: 19.0
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 16
- 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 | Bleu | Gen Len |
---|---|---|---|---|---|
No log | 1.0 | 5 | 5.5684 | 1.0068 | 19.0 |
No log | 2.0 | 10 | 5.3461 | 1.063 | 19.0 |
No log | 3.0 | 15 | 5.2884 | 1.1176 | 19.0 |
No log | 4.0 | 20 | 5.2234 | 1.08 | 19.0 |
No log | 5.0 | 25 | 5.2280 | 1.08 | 19.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2