End of training

README.md

@@ -4,8 +4,6 @@ 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: []
@@ -17,9 +15,6 @@ 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: 2.2034
-- Accuracy: 0.4925
 
 ## Model description
 
@@ -47,16 +42,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - training_steps: 156
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
-|:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.5439        | 0.2564 | 40   | 0.3411          | 0.8154   |
-| 0.4475        | 1.2564 | 80   | 0.2445          | 0.9077   |
-| 0.151         | 2.2564 | 120  | 0.4070          | 0.8615   |
-| 0.0314        | 3.2308 | 156  | 0.4338          | 0.8769   |
-
-
 ### Framework versions
 
 - Transformers 4.46.1

config.json

@@ -32,7 +32,6 @@
   "num_frames": 16,
   "num_hidden_layers": 12,
   "patch_size": 16,
-  "problem_type": "single_label_classification",
   "qkv_bias": true,
   "torch_dtype": "float32",
   "transformers_version": "4.46.1",

model.safetensors

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training_args.bin

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