| --- |
| base_model: /content/model/emotion-classificationV3/checkpoint-60 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: emotion-classificationV3 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # emotion-classificationV3 |
|
|
| This model is a fine-tuned version of [/content/model/emotion-classificationV3/checkpoint-60](https://huggingface.co//content/model/emotion-classificationV3/checkpoint-60) on FastJobs/Visual_Emotional_Analysis Dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5765 |
| - Accuracy: 0.8438 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| FastJobs/Visual_Emotional_Analysis |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 143 |
| - gradient_accumulation_steps: 4 |
| - total_train_batch_size: 128 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 1.0 | 5 | 0.6923 | 0.7937 | |
| | 0.5541 | 2.0 | 10 | 0.7871 | 0.8063 | |
| | 0.5541 | 3.0 | 15 | 0.7193 | 0.8313 | |
| | 0.5168 | 4.0 | 20 | 0.6446 | 0.825 | |
| | 0.5168 | 5.0 | 25 | 0.5653 | 0.8438 | |
| | 0.4627 | 6.0 | 30 | 0.7244 | 0.8063 | |
| | 0.4627 | 7.0 | 35 | 0.7213 | 0.7937 | |
| | 0.4516 | 8.0 | 40 | 0.6082 | 0.8313 | |
| | 0.4516 | 9.0 | 45 | 0.7545 | 0.8063 | |
| | 0.4339 | 10.0 | 50 | 0.5320 | 0.8562 | |
| | 0.4339 | 11.0 | 55 | 0.6222 | 0.8187 | |
| | 0.4233 | 12.0 | 60 | 0.6104 | 0.8438 | |
| | 0.4233 | 13.0 | 65 | 0.5913 | 0.825 | |
| | 0.3976 | 14.0 | 70 | 0.6852 | 0.8125 | |
| | 0.3976 | 15.0 | 75 | 0.6227 | 0.8125 | |
| | 0.3933 | 16.0 | 80 | 0.5550 | 0.825 | |
| | 0.3933 | 17.0 | 85 | 0.5438 | 0.8438 | |
| | 0.4359 | 18.0 | 90 | 0.5916 | 0.825 | |
| | 0.4359 | 19.0 | 95 | 0.6037 | 0.8063 | |
| | 0.3589 | 20.0 | 100 | 0.7102 | 0.8125 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.33.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
