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---
tags:
- generated_from_trainer
model-index:
- name: mT5_multilingual_XLSum-marathi-summarization
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. -->
# mT5_multilingual_XLSum-marathi-summarization
This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0760
## 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5994 | 0.55 | 100 | 0.1662 |
| 0.2766 | 1.09 | 200 | 0.1032 |
| 0.1967 | 1.64 | 300 | 0.0881 |
| 0.194 | 2.19 | 400 | 0.0850 |
| 0.1667 | 2.73 | 500 | 0.0821 |
| 0.1615 | 3.28 | 600 | 0.0780 |
| 0.1368 | 3.83 | 700 | 0.0783 |
| 0.1372 | 4.37 | 800 | 0.0762 |
| 0.1265 | 4.92 | 900 | 0.0760 |
### Framework versions
- Transformers 4.30.2
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3
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