metadata
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: filtered_annotated94k_banglat5
results: []
filtered_annotated94k_banglat5
This model is a fine-tuned version of csebuetnlp/banglat5 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.3725
- Val accuracy: 0.0
- 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: 300
- eval_batch_size: 32
- 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 | Val accuracy | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 1 | 5.3356 | 0.0 | 19.0 |
| No log | 2.0 | 2 | 5.3079 | 0.0 | 19.0 |
| No log | 3.0 | 3 | 5.3176 | 0.0 | 19.0 |
| No log | 4.0 | 4 | 5.3496 | 0.0 | 19.0 |
| No log | 5.0 | 5 | 5.3725 | 0.0 | 19.0 |
Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.1
- Tokenizers 0.15.2