File size: 1,772 Bytes
da76d67 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 |
---
license: cc-by-nc-4.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: videomae-base-finetuned-IEMOCAP_videos-finetuned-IEMOCAP_videos_20
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. -->
# videomae-base-finetuned-IEMOCAP_videos-finetuned-IEMOCAP_videos_20
This model is a fine-tuned version of [minoosh/videomae-base-finetuned-IEMOCAP_videos](https://huggingface.co/minoosh/videomae-base-finetuned-IEMOCAP_videos) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3677
- Accuracy: 0.3375
## 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: 4
- eval_batch_size: 4
- 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: 4070
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.317 | 0.2 | 815 | 1.3669 | 0.2291 |
| 1.3102 | 1.2 | 1630 | 1.4069 | 0.2698 |
| 1.2155 | 2.2 | 2445 | 1.3784 | 0.2857 |
| 1.1855 | 3.2 | 3260 | 1.3396 | 0.3538 |
| 1.5309 | 4.2 | 4070 | 1.3619 | 0.3055 |
### Framework versions
- Transformers 4.29.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
|