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--- |
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license: apache-2.0 |
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base_model: google/mt5-base |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: mt5-base-ft-rf-02 |
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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-base-ft-rf-02 |
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This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4229 |
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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: 5e-05 |
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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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 43.082 | 0.24 | 50 | 37.1069 | |
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| 34.6827 | 0.49 | 100 | 28.8296 | |
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| 21.0188 | 0.73 | 150 | 19.9344 | |
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| 18.3905 | 0.98 | 200 | 12.0120 | |
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| 14.342 | 1.22 | 250 | 9.2877 | |
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| 6.2116 | 1.46 | 300 | 6.1602 | |
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| 6.5474 | 1.71 | 350 | 4.6816 | |
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| 1.9222 | 1.95 | 400 | 2.6431 | |
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| 2.0579 | 2.2 | 450 | 1.2741 | |
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| 1.1028 | 2.44 | 500 | 0.9638 | |
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| 1.3341 | 2.68 | 550 | 0.8896 | |
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| 0.6531 | 2.93 | 600 | 0.8461 | |
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| 0.9805 | 3.17 | 650 | 0.7652 | |
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| 0.7167 | 3.41 | 700 | 0.7544 | |
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| 1.0224 | 3.66 | 750 | 0.7493 | |
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| 0.5367 | 3.9 | 800 | 0.7188 | |
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| 0.9352 | 4.15 | 850 | 0.6844 | |
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| 0.4927 | 4.39 | 900 | 0.6595 | |
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| 0.7141 | 4.63 | 950 | 0.6458 | |
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| 0.5773 | 4.88 | 1000 | 0.5911 | |
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| 0.4791 | 5.12 | 1050 | 0.5691 | |
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| 0.498 | 5.37 | 1100 | 0.5572 | |
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| 0.4306 | 5.61 | 1150 | 0.5315 | |
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| 0.334 | 5.85 | 1200 | 0.5123 | |
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| 0.3783 | 6.1 | 1250 | 0.4970 | |
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| 0.7719 | 6.34 | 1300 | 0.4774 | |
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| 0.3732 | 6.59 | 1350 | 0.4591 | |
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| 0.6203 | 6.83 | 1400 | 0.4482 | |
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| 0.4669 | 7.07 | 1450 | 0.4434 | |
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| 0.5568 | 7.32 | 1500 | 0.4307 | |
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| 0.6352 | 7.56 | 1550 | 0.4257 | |
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| 1.4137 | 7.8 | 1600 | 0.4229 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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