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--- |
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library_name: transformers |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-gigatrue-embmodtest |
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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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# mt5-gigatrue-embmodtest |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 7.3662 |
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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: 0.0003 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:-----:|:---------------:| |
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| 9.2307 | 0.1015 | 3000 | 7.5733 | |
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| 8.3153 | 0.2030 | 6000 | 7.4610 | |
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| 8.245 | 0.3044 | 9000 | 7.4058 | |
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| 8.2157 | 0.4059 | 12000 | 7.3872 | |
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| 8.2014 | 0.5074 | 15000 | 7.3764 | |
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| 8.1962 | 0.6089 | 18000 | 7.3736 | |
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| 8.1911 | 0.7104 | 21000 | 7.3708 | |
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| 8.1927 | 0.8119 | 24000 | 7.3668 | |
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| 8.1863 | 0.9133 | 27000 | 7.3662 | |
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### Framework versions |
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- Transformers 4.45.2 |
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- Pytorch 2.5.1 |
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- Datasets 3.2.0 |
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- Tokenizers 0.20.3 |
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