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--- |
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license: apache-2.0 |
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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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model-index: |
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- name: finetuning-emotion-model |
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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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# finetuning-emotion-model |
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) and [clip-vit-base-patch32](https://huggingface.co/openai/clip-vit-base-patch32) on the emotion dataset. |
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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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##Labels |
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0 - sadness |
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1 - joy |
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2 - love |
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3 - anger |
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4 - fear |
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5 - surprise |
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## Training procedure |
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##Training Results |
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Epoch Training Loss Validation Loss Accuracy F1 |
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1 No log 0.210356 0.927500 0.927196 |
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2 0.230100 0.207957 0.930500 0.930676 |
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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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### Framework versions |
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- Transformers 4.28.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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