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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: distilbert-base-uncased |
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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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model-index: |
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- name: distilbert-base-uncased-finetuned-emotion |
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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-uncased-finetuned-emotion |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1618 |
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- Accuracy: 0.937 |
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- F1: 0.9370 |
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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: 64 |
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- eval_batch_size: 64 |
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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 | Accuracy | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.7529 | 1.0 | 250 | 0.2673 | 0.918 | 0.9187 | |
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| 0.1932 | 2.0 | 500 | 0.1696 | 0.9325 | 0.9322 | |
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| 0.1291 | 3.0 | 750 | 0.1491 | 0.937 | 0.9375 | |
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| 0.0996 | 4.0 | 1000 | 0.1465 | 0.937 | 0.9367 | |
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| 0.0806 | 5.0 | 1250 | 0.1475 | 0.9385 | 0.9382 | |
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| 0.0698 | 6.0 | 1500 | 0.1567 | 0.936 | 0.9360 | |
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| 0.0595 | 7.0 | 1750 | 0.1611 | 0.934 | 0.9338 | |
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| 0.0519 | 8.0 | 2000 | 0.1618 | 0.937 | 0.9370 | |
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### Framework versions |
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- Transformers 4.44.2 |
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- Pytorch 2.5.0+cu121 |
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- Datasets 3.0.2 |
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- Tokenizers 0.19.1 |
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