metadata

library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/timesformer-base-finetuned-k400
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: Timesformer_default_fold_10_10_epoch_noAug_batch8_codecheck
    results: []

Timesformer_default_fold_10_10_epoch_noAug_batch8_codecheck

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

Loss: 0.7195
Accuracy: 0.7769

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: 8
eval_batch_size: 8
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: 366

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0601	0.5	183	0.0183	1.0
0.0083	1.5	366	0.0128	0.9939

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 2.19.2
Tokenizers 0.19.1