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--- |
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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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datasets: |
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- emotion |
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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-finetuned-on-emotion |
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results: |
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- task: |
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name: Text Classification |
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type: text-classification |
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dataset: |
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name: emotion |
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type: emotion |
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config: split |
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split: validation |
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args: split |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9235 |
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- name: F1 |
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type: f1 |
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value: 0.9234955371382243 |
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widget: |
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- text: "The gentle touch of your hand on mine is a silent promise that echoes through the corridors of my heart." |
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- text: " Walking through the dusty attic, I stumbled upon a hidden door. With a mix of trepidation and excitement, I pushed it open, expecting cobwebs and forgotten junk. Instead, a flood of sunlight revealed a secret garden, blooming with vibrant flowers and buzzing with life. My jaw dropped in pure astonishment." |
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- text: "The rain mirrored the tears I couldn't stop, each drop a tiny echo of the ache in my heart. The world seemed muted, colors drained, and a heavy weight settled upon my soul." |
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- text: "Staring at your pic, smiling. It feels like I am living this night awake in ur dreams. I went through our chats all of them n each word kissed my heart with gratitude. Suddenly, I felt like I am choking. my eyes welling up .my breath turned warm n deep n I even felt some chill on my skin." |
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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-finetuned-on-emotion |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2180 |
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- Accuracy: 0.9235 |
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- F1: 0.9235 |
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## Model description |
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DiestilBERT is fine-tuned on emotions dataset. Click the following link to see how the model works: |
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https://huggingface.co/spaces/Rahmat82/emotions_classifier |
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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: 2 |
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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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| 0.8046 | 1.0 | 250 | 0.3115 | 0.9085 | 0.9081 | |
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| 0.2405 | 2.0 | 500 | 0.2180 | 0.9235 | 0.9235 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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