update model card README.md

README.md

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+---
+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