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---
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: md_mt5_1911_v16_deneme
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. -->
# md_mt5_1911_v16_deneme
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3865
- Bleu: 0.6474
- Gen Len: 18.7566
## 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
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 5.2266 | 1.0 | 1250 | 2.0508 | 0.8851 | 16.8074 |
| 1.9533 | 2.0 | 2500 | 1.1931 | 1.1725 | 18.8668 |
| 1.5627 | 3.0 | 3750 | 0.8881 | 0.6185 | 18.672 |
| 1.237 | 4.0 | 5000 | 0.7267 | 0.6301 | 18.7212 |
| 1.1021 | 5.0 | 6250 | 0.6370 | 0.6165 | 18.679 |
| 0.962 | 6.0 | 7500 | 0.5726 | 0.5885 | 18.7398 |
| 0.8972 | 7.0 | 8750 | 0.5235 | 0.6011 | 18.7622 |
| 0.8385 | 8.0 | 10000 | 0.4881 | 0.6087 | 18.761 |
| 0.7949 | 9.0 | 11250 | 0.4579 | 0.6185 | 18.7696 |
| 0.7482 | 10.0 | 12500 | 0.4342 | 0.6175 | 18.755 |
| 0.7304 | 11.0 | 13750 | 0.4159 | 0.631 | 18.7478 |
| 0.7009 | 12.0 | 15000 | 0.4029 | 0.6373 | 18.7532 |
| 0.6863 | 13.0 | 16250 | 0.3938 | 0.6434 | 18.7546 |
| 0.6841 | 14.0 | 17500 | 0.3882 | 0.6464 | 18.7512 |
| 0.6749 | 15.0 | 18750 | 0.3865 | 0.6474 | 18.7566 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
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