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---
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
model-index:
- name: wsdbanglat5_2e4_MT5
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. -->
# wsdbanglat5_2e4_MT5
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0064
## 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: 0.0002
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0767 | 1.0 | 1481 | 0.0179 |
| 0.0151 | 2.0 | 2962 | 0.0096 |
| 0.011 | 3.0 | 4443 | 0.0077 |
| 0.0072 | 4.0 | 5924 | 0.0068 |
| 0.0051 | 5.0 | 7405 | 0.0057 |
| 0.0033 | 6.0 | 8886 | 0.0058 |
| 0.0037 | 7.0 | 10367 | 0.0057 |
| 0.0018 | 8.0 | 11848 | 0.0057 |
| 0.0014 | 9.0 | 13329 | 0.0065 |
| 0.0005 | 10.0 | 14810 | 0.0064 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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