<!-- 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 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 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
