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README.md
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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_ptt
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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_ptt
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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: 1.8811
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- Mse: 1.8811
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- Mae: 1.0147
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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: 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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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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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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| 1.8977 | 1.0 | 2062 | 1.8815 | 1.8815 | 1.0164 |
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| 1.935 | 2.0 | 4124 | 1.8825 | 1.8825 | 1.0172 |
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| 1.8602 | 3.0 | 6186 | 1.8810 | 1.8810 | 1.0155 |
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| 1.7752 | 4.0 | 8248 | 1.8811 | 1.8811 | 1.0147 |
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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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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 541314292
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version https://git-lfs.github.com/spec/v1
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size 541314292
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