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Browse files- README.md +67 -0
- model.safetensors +1 -1
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_news_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_news_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: 1.7168
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- Mse: 1.7168
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- Mae: 0.9618
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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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| 1.815 | 1.0 | 21755 | 1.7168 | 1.7168 | 0.9622 |
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| 1.6414 | 2.0 | 43510 | 1.7167 | 1.7167 | 0.9620 |
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| 1.6485 | 3.0 | 65265 | 1.7171 | 1.7171 | 0.9614 |
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| 1.7803 | 4.0 | 87020 | 1.7168 | 1.7168 | 0.9619 |
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| 1.6427 | 5.0 | 108775 | 1.7173 | 1.7173 | 0.9613 |
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| 1.6436 | 6.0 | 130530 | 1.7170 | 1.7170 | 0.9615 |
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| 1.7037 | 7.0 | 152285 | 1.7168 | 1.7168 | 0.9618 |
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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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version https://git-lfs.github.com/spec/v1
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size 541314292
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