---
base_model: csebuetnlp/banglat5
tags:
- generated_from_trainer
model-index:
- name: filtered_annotated94k_banglat5
  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. -->

# filtered_annotated94k_banglat5

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: 0.1241
- Val accuracy: 0.9387
- Gen Len: 2.6493

## 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   | 253  | 0.1969          | 0.8979       | 2.6679  |
| 1.0947        | 2.0   | 506  | 0.1400          | 0.924        | 2.6558  |
| 1.0947        | 3.0   | 759  | 0.1280          | 0.9324       | 2.653   |
| 0.1281        | 4.0   | 1012 | 0.1250          | 0.9359       | 2.6522  |
| 0.1281        | 5.0   | 1265 | 0.1241          | 0.9387       | 2.6493  |


### Framework versions

- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.1