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---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: mt5-sci-fl
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-sci-fl
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: 2.9837
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 3.5927 | 1.0 | 2904 | 3.2806 |
| 3.3361 | 2.0 | 5808 | 3.1240 |
| 3.2328 | 3.0 | 8712 | 3.0544 |
| 3.154 | 4.0 | 11616 | 3.0139 |
| 3.0892 | 5.0 | 14520 | 2.9940 |
| 3.1044 | 6.0 | 17424 | 2.9837 |
### Framework versions
- Transformers 4.40.2
- Pytorch 2.4.1.post300
- Datasets 2.19.1
- Tokenizers 0.19.1
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