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---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: FearNews_1_loadbest
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. -->
# FearNews_1_loadbest
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: 4.2853
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.5702 | 1.08 | 200 | 3.4542 |
| 1.5764 | 2.15 | 400 | 3.5080 |
| 1.8336 | 3.23 | 600 | 3.5567 |
| 1.146 | 4.3 | 800 | 3.6572 |
| 1.4305 | 5.38 | 1000 | 3.8077 |
| 0.9643 | 6.45 | 1200 | 3.9775 |
| 0.9929 | 7.53 | 1400 | 4.1400 |
| 0.8563 | 8.6 | 1600 | 4.2600 |
| 0.7378 | 9.68 | 1800 | 4.2853 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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