fine-tuned-blog-sentiment
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: lxyuan/distilbert-base-multilingual-cased-sentiments-student
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: fine-tuned-blog-sentiment
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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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# fine-tuned-blog-sentiment
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This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3272
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- Accuracy: 0.9308
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- F1: 0.9305
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- Precision: 0.9386
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- Recall: 0.9308
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 1.0 | 238 | 0.2511 | 0.9245 | 0.9243 | 0.9316 | 0.9245 |
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| No log | 2.0 | 476 | 0.1407 | 0.9340 | 0.9337 | 0.9422 | 0.9340 |
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| 0.1044 | 3.0 | 714 | 0.3272 | 0.9308 | 0.9305 | 0.9386 | 0.9308 |
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### Framework versions
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- Transformers 4.48.2
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- Pytorch 2.5.1+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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