README.md

metadata

license: cc-by-nc-4.0
base_model: NiiCole/timesformer-base-finetuned-k400-continual-lora-ucf101
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: >-
      timesformer-base-finetuned-k400-continual-lora-ucf101-continual-lora-ucf101
    results: []

timesformer-base-finetuned-k400-continual-lora-ucf101-continual-lora-ucf101

This model is a fine-tuned version of NiiCole/timesformer-base-finetuned-k400-continual-lora-ucf101 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.8731
• Accuracy: 0.0721

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: 2276

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7573	0.5	1138	0.6171	0.9349
0.2567	1.5	2276	0.3121	0.9699

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.0+cu117
• Datasets 2.14.4
• Tokenizers 0.13.3