Model save

README.md

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+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: videomae-base-finetuned-ElderReact-Sadness
+  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-ElderReact-Sadness
+
+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: 0.5603
+- F1: 0.0
+
+## 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: 380
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 0.4849        | 0.2   | 77   | 0.5622          | 0.0 |
+| 0.6142        | 1.2   | 154  | 0.5103          | 0.0 |
+| 0.3716        | 2.2   | 231  | 0.5194          | 0.0 |
+| 0.5747        | 3.2   | 308  | 0.5141          | 0.0 |
+| 0.5651        | 4.19  | 380  | 0.5185          | 0.0 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2