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---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: type2_general_1
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. -->
# type2_general_1
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: 3.0966
## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.634 | 0.87 | 500 | 2.9991 |
| 3.1251 | 1.74 | 1000 | 2.8423 |
| 2.5868 | 2.61 | 1500 | 2.8272 |
| 2.3594 | 3.48 | 2000 | 2.8389 |
| 2.0565 | 4.35 | 2500 | 2.8995 |
| 2.1545 | 5.22 | 3000 | 2.9175 |
| 1.6546 | 6.09 | 3500 | 2.9527 |
| 1.4673 | 6.96 | 4000 | 2.9956 |
| 1.7318 | 7.83 | 4500 | 3.0638 |
| 1.3006 | 8.7 | 5000 | 3.0805 |
| 1.5979 | 9.57 | 5500 | 3.0966 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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