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--- |
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license: apache-2.0 |
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base_model: bigscience/mt0-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: wsdbanglat5_2e4_MT0 |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wsdbanglat5_2e4_MT0 |
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This model is a fine-tuned version of [bigscience/mt0-base](https://huggingface.co/bigscience/mt0-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0064 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 0.0002 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 7 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 0.0142 | 1.0 | 1481 | 0.0122 | |
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| 0.0092 | 2.0 | 2962 | 0.0072 | |
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| 0.0078 | 3.0 | 4443 | 0.0060 | |
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| 0.0049 | 4.0 | 5924 | 0.0057 | |
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| 0.0026 | 5.0 | 7405 | 0.0057 | |
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| 0.0013 | 6.0 | 8886 | 0.0065 | |
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| 0.001 | 7.0 | 10367 | 0.0064 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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