Model save

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-SLT-subset
   results: []
@@ -16,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # videomae-base-finetuned-SLT-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: 3.5419
-- Accuracy: 0.075
 
 ## Model description
 
@@ -46,20 +41,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - training_steps: 295
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.0073        | 0.2   | 59   | 3.7164          | 0.025    |
-| 3.922         | 1.2   | 118  | 3.6887          | 0.05     |
-| 3.8127        | 2.2   | 177  | 3.6308          | 0.075    |
-| 3.7016        | 3.2   | 236  | 3.5723          | 0.075    |
-| 3.5277        | 4.2   | 295  | 3.5419          | 0.075    |
-
-
 ### Framework versions
 
 - Transformers 4.44.0
-- Pytorch 2.4.0
+- Pytorch 2.1.0+cu121
 - Datasets 2.21.0
 - Tokenizers 0.19.1

model.safetensors

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training_args.bin

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