|
--- |
|
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 an unknown 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 |
|
|
