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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- emotion
model-index:
- name: finetuning-emotion-model
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. -->
# finetuning-emotion-model
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.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
##Labels
0 - sadness
1 - joy
2 - love
3 - anger
4 - fear
5 - surprise
## Training procedure
##Training Results
Epoch Training Loss Validation Loss Accuracy F1
1 No log 0.210356 0.927500 0.927196
2 0.230100 0.207957 0.930500 0.930676
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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