End of training

README.md

@@ -0,0 +1,63 @@
+---
+license: cc-by-nc-4.0
+base_model: MCG-NJU/videomae-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: videomae-large-finetuned-ucf101-subset
+  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-large-finetuned-ucf101-subset
+
+This model is a fine-tuned version of [MCG-NJU/videomae-large](https://huggingface.co/MCG-NJU/videomae-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9542
+- Accuracy: 0.6105
+
+## 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: 2
+- eval_batch_size: 2
+- 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: 766
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.4296        | 0.34  | 260  | 1.1089          | 0.6105   |
+| 1.1275        | 1.18  | 520  | 0.9542          | 0.6105   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3b8a2aa969ba6b21910c83c9a0a360d73e9ef2c1651d5ce25aac83e3d06e8832
+oid sha256:cbc31e4c5a1bdbabd39944b150a9db42f9ce3275ec31823cc8a3bcddcc30e875
 size 1215500348

runs/May21_02-09-00_f80a975096fa/events.out.tfevents.1716257341.f80a975096fa.230.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:283a4c55186242bca144861b3f3f542b12e3b4a086065651fa6df7f53c2b1e2d
-size 6009
+oid sha256:a811c9370c7b04cf493694ecabd805f1339fe42d876172030ec82391c2251535
+size 6363