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---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bangla_idiom_generation_v3
  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. -->

# bangla_idiom_generation_v3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.5201
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 10.8938

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 226  | 4.7622          | 0.0    | 0.0    | 0.0    | 0.0       | 10.5398 |
| No log        | 2.0   | 452  | 4.7514          | 0.0    | 0.0    | 0.0    | 0.0       | 10.6018 |
| 5.1485        | 3.0   | 678  | 4.7347          | 0.0    | 0.0    | 0.0    | 0.0       | 11.2478 |
| 5.1485        | 4.0   | 904  | 4.7101          | 0.0    | 0.0    | 0.0    | 0.0       | 11.9912 |
| 5.0936        | 5.0   | 1130 | 4.6840          | 0.0    | 0.0    | 0.0    | 0.0       | 12.0841 |
| 5.0936        | 6.0   | 1356 | 4.6527          | 0.0    | 0.0    | 0.0    | 0.0       | 12.1991 |
| 4.9965        | 7.0   | 1582 | 4.6199          | 0.0    | 0.0    | 0.0    | 0.0       | 12.5044 |
| 4.9965        | 8.0   | 1808 | 4.5845          | 0.0    | 0.0    | 0.0    | 0.0       | 11.8761 |
| 4.8494        | 9.0   | 2034 | 4.5543          | 0.0    | 0.0    | 0.0    | 0.0       | 11.5398 |
| 4.8494        | 10.0  | 2260 | 4.5201          | 0.0    | 0.0    | 0.0    | 0.0       | 10.8938 |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3