End of training

README.md

@@ -3,8 +3,6 @@ license: cc-by-nc-4.0
 base_model: MCG-NJU/videomae-base
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: videomae-base-finetuned-ucf101-subset
   results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # videomae-base-finetuned-ucf101-subset
 
 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: 0.2069
-- Accuracy: 0.9714
 
 ## Model description
 
@@ -46,16 +41,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - training_steps: 300
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9802        | 0.25  | 75   | 1.4934          | 0.6      |
-| 0.9352        | 1.25  | 150  | 0.6033          | 0.8143   |
-| 0.3369        | 2.25  | 225  | 0.4701          | 0.8      |
-| 0.2709        | 3.25  | 300  | 0.2069          | 0.9714   |
-
-
 ### Framework versions
 
 - Transformers 4.32.0

config.json

@@ -46,7 +46,6 @@
   "num_frames": 16,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.32.0",

pytorch_model.bin

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training_args.bin

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