Model save

README.md

@@ -0,0 +1,65 @@
+---
+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-anger
+  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-anger
+
+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: 0.6054
+- F1: 0.8671
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.6521        | 0.2   | 77   | 0.5761          | 0.8397 |
+| 0.5836        | 1.2   | 154  | 0.5900          | 0.8397 |
+| 0.6733        | 2.2   | 231  | 0.5975          | 0.8415 |
+| 0.6136        | 3.2   | 308  | 0.5905          | 0.8397 |
+| 0.5394        | 4.19  | 380  | 0.5993          | 0.8351 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e778b082941b5d2413dfe883988c0731ea34f37c6c858c451d1e0c070f1a2d5b
+oid sha256:7303e58a60b878a3c9cd9bf4b204b8ef63fb8698d11b5e190137288f40962e54
 size 344937368