Training completed!
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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: 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: 0.1408
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- Accuracy: 0.939
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- F1: 0.9390
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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: 5
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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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| 0.7839 | 1.0 | 250 | 0.2642 | 0.915 | 0.9155 |
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| 0.1986 | 2.0 | 500 | 0.1730 | 0.933 | 0.9328 |
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| 0.1352 | 3.0 | 750 | 0.1467 | 0.9395 | 0.9399 |
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| 0.1068 | 4.0 | 1000 | 0.1375 | 0.9375 | 0.9376 |
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| 0.0899 | 5.0 | 1250 | 0.1408 | 0.939 | 0.9390 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Tokenizers 0.19.1
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runs/Oct03_13-20-02_573d447df849/events.out.tfevents.1727961668.573d447df849.1216.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 8380
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