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--- |
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license: apache-2.0 |
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base_model: distilbert/distilbert-base-multilingual-cased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: distilbert-base-multilingual-cased_regression_finetuned_mobile01_all |
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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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# distilbert-base-multilingual-cased_regression_finetuned_mobile01_all |
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This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0001 |
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- Mse: 0.0001 |
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- Mae: 0.0078 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: cosine |
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- num_epochs: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:| |
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| No log | 1.0 | 5 | 0.1000 | 0.1000 | 0.3073 | |
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| No log | 2.0 | 10 | 0.0123 | 0.0123 | 0.1057 | |
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| No log | 3.0 | 15 | 0.0076 | 0.0076 | 0.0854 | |
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| No log | 4.0 | 20 | 0.0042 | 0.0042 | 0.0632 | |
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| No log | 5.0 | 25 | 0.0028 | 0.0028 | 0.0516 | |
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| No log | 6.0 | 30 | 0.0001 | 0.0001 | 0.0088 | |
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| No log | 7.0 | 35 | 0.0012 | 0.0012 | 0.0337 | |
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| No log | 8.0 | 40 | 0.0001 | 0.0001 | 0.0078 | |
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| No log | 9.0 | 45 | 0.0004 | 0.0004 | 0.0174 | |
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| 0.0746 | 10.0 | 50 | 0.0004 | 0.0004 | 0.0183 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.1 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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