---
base_model: Karzan/walamakan-t5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: walamakan-t5-base
  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. -->

# walamakan-t5-base

This model is a fine-tuned version of [Karzan/walamakan-t5-base](https://huggingface.co/Karzan/walamakan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3291
- Bleu: 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|
| No log        | 0.96  | 21   | 1.3668          | 0.0  | 19.0    |
| No log        | 1.97  | 43   | 1.3613          | 0.0  | 19.0    |
| No log        | 2.98  | 65   | 1.3530          | 0.0  | 19.0    |
| No log        | 3.99  | 87   | 1.3503          | 0.0  | 19.0    |
| No log        | 5.0   | 109  | 1.3476          | 0.0  | 19.0    |
| No log        | 5.96  | 130  | 1.3429          | 0.0  | 19.0    |
| No log        | 6.97  | 152  | 1.3415          | 0.0  | 19.0    |
| No log        | 7.98  | 174  | 1.3408          | 0.0  | 19.0    |
| No log        | 8.99  | 196  | 1.3382          | 0.0  | 19.0    |
| No log        | 9.99  | 218  | 1.3387          | 0.0  | 19.0    |
| No log        | 10.96 | 239  | 1.3301          | 0.0  | 19.0    |
| No log        | 11.97 | 261  | 1.3344          | 0.0  | 19.0    |
| No log        | 12.97 | 283  | 1.3323          | 0.0  | 19.0    |
| No log        | 13.98 | 305  | 1.3312          | 0.0  | 19.0    |
| No log        | 14.99 | 327  | 1.3329          | 0.0  | 19.0    |
| No log        | 16.0  | 349  | 1.3323          | 0.0  | 19.0    |
| No log        | 16.96 | 370  | 1.3289          | 0.0  | 19.0    |
| No log        | 17.97 | 392  | 1.3291          | 0.0  | 19.0    |
| No log        | 18.98 | 414  | 1.3289          | 0.0  | 19.0    |
| No log        | 19.26 | 420  | 1.3291          | 0.0  | 19.0    |


### Framework versions

- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3