---
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