---
base_model: MCG-NJU/videomae-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: videomae-base-finetuned-IEMOCAP_1xxx
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# videomae-base-finetuned-IEMOCAP_1xxx

This model is a fine-tuned version of [MCG-NJU/videomae-base](https://huggingface.co./MCG-NJU/videomae-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5410
- F1: 0.3122

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 4440

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.1898        | 0.1   | 445  | 1.4498          | 0.2386 |
| 0.8823        | 1.1   | 890  | 1.1752          | 0.4500 |
| 0.9551        | 2.1   | 1335 | 1.0926          | 0.5148 |
| 0.3473        | 3.1   | 1780 | 0.8426          | 0.6929 |
| 0.3696        | 4.1   | 2225 | 1.0283          | 0.6745 |
| 0.3198        | 5.1   | 2670 | 1.0346          | 0.7329 |
| 0.1408        | 6.1   | 3115 | 1.1931          | 0.7278 |
| 0.2707        | 7.1   | 3560 | 1.3167          | 0.7492 |
| 0.0056        | 8.1   | 4005 | 1.4910          | 0.7418 |
| 0.03          | 9.1   | 4440 | 1.4809          | 0.7460 |


### Framework versions

- Transformers 4.34.0
- Pytorch 1.12.0+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1