ModelPublicadoExterno

TimesFormerRefineOnHMDB51

This model is a fine-tuned version of TimeSformer (Time-Space Transformer) for video action recognition, trained on the HMDB51 dataset.

Fuentehuggingface.co/sumit7488/TimesFormerRefineOnHMDB51/tree/a5ecf612054805eb4a3878012a5c70c65156df35

TipoOtherVersiónRevision a5ecf61Bcalidad

Fuente del modelo

Tipo: Other
Tamaño del archivo: 464 MB
Versión: vRevision a5ecf61
Actualizado: 24 oct 2026
Descargas: 5
Fuente: Hugging Face

Descripción de la fuente

🎬 TimeSformer Fine-Tuned on HMDB51

This model is a fine-tuned version of TimeSformer (Time-Space Transformer) for video action recognition, trained on the HMDB51 dataset.

📌 Model Overview

Architecture: TimeSformer (Transformer-based video model)
Task: Video Classification / Action Recognition
Dataset: HMDB51 (51 human action classes)
Framework: PyTorch + Hugging Face Transformers
Training Device: CUDA (GPU)

This model learns spatial and temporal features from video frames using transformer-based attention mechanisms.

📊 Training Details

Epochs: 15
Training Strategy:
- Mixed Precision Training (torch.cuda.amp)
- Early stopping based on validation performance
- Best model checkpoint saved during training

📈 Training Results

Epoch	Train Loss	Train Accuracy	Val Loss	Val Accuracy
1	3.9314	0.0323	3.7800	0.1248
2	3.5892	0.1976	3.2530	0.4353
3	3.0235	0.4354	2.6567	0.5340
4	2.5720	0.5246	2.2347	0.6033
5	2.2836	0.6009	2.0135	0.6327
6	2.0897	0.6419	1.8659	0.6536
7	1.9678	0.6807	1.8017	0.6667
8	1.8847	0.7030	1.7705	0.6627
9	1.8213	0.7237	1.7355	0.6627
10	1.7576	0.7414	1.7340	0.6680
11	1.7098	0.7549	1.7234	0.6765

✅ Best Validation Accuracy: 67.65%

Achieved at Epoch 11
Model checkpoint saved automatically

🧠 Dataset

HMDB51 is a widely used human action recognition dataset:

51 action classes
Real-world videos
Diverse motion patterns and scenes

🚀 Usage

Install Dependencies

pip install torch torchvision transformers

Fuentes

1 fuente

Hugging FacePrincipalVersión a5ecf612054805eb4a3878012a5c70c65156df35

huggingface.co/sumit7488/TimesFormerRefineOnHMDB51/tree/a5ecf612054805eb4a3878012a5c70c65156df35

Verificado 24 oct

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Artefactos del modelo

2 artefactos

model.safetensors

safetensors · 464 MB · SHA-256 0eda7112b140…177c · Hugging Face

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pytorch_model.bin

bin · 464 MB · SHA-256 6861b3206cd7…2d67 · Hugging Face

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Extractos de fuentes

3 extractos

Readme6 agohuggingface.co/sumit7488/TimesFormerRefineOnHMDB51

--- license: mit tags: - video-classification - timesformer - action-recognition - hmdb51 - pytorch datasets: - hmdb51 --- # 🎬 TimeSformer Fine-Tuned on HMDB51 This model is a fine-tuned version of **TimeSformer (Time-Space Transformer)** for **video action recognition**, trained on the **HMDB51 dataset**. --- ## 📌 Model Overview - **Architecture:** TimeSformer (Transformer-based video model) - **Task:** Video Classification / Action Recognition - **Dataset:** HMDB51 (51 human action classes) - **Framework:** PyTorch + Hugging Face Transformers - **Training Device:** CUDA (GPU) This model learns spatial and temporal features from video frames using transformer-based attention mechanisms. --- ## 📊 Training Details - **Epochs:** 15 - **Training Strategy:** - Mixed Precision Training (`torch.cuda.amp`) - Early stopping based on validation performance - Best model checkpoint saved during training --- ## 📈 Training Results | Epoch | Train Loss | Train Accuracy | Val Loss | Val Accuracy | |------|------------|----------------|----------|--------------| | 1 | 3.9314 | 0.0323 | 3.7800 | 0.1248 | | 2 | 3.5892 | 0.1976 | 3.2530 | 0.4353 | | 3 | 3.0235 | 0.4354 | 2.6567 | 0.5340 | | 4 | 2.5720 | 0.5246 | 2.2347 | 0.6033 | | 5 | 2.2836 | 0.6009 | 2.0135 | 0.6327 | | 6 | 2.0897 | 0.6419 | 1.8659 | 0.6536 | | 7 | 1.9678 | 0.6807 | 1.8017 | 0.6667 | | 8 | 1.8847 | 0.7030 | 1.7705 | 0.6627 | | 9 | 1.8213 | 0.7237 | 1.7355 | 0.6627 | | 10 | 1.7576 | 0.7414 | 1.7340 | 0.6680 | | 11 | 1.7098 | 0.7549 | 1.7234 | 0.6765 | ### ✅ Best Validation Accuracy: **67.65%** - Achieved at **Epoch 11** - Model checkpoint saved automatically --- ## 🧠 Dataset **HMDB51** is a widely used human action recognition dataset: - 51 action classes - Real-world videos - Diverse motion patterns and scenes --- ## 🚀 Usage ### Install Dependencies ```bash pip install torch torchvision transformers

Note24 octhuggingface.co/sumit7488/TimesFormerRefineOnHMDB51

Source context: 5 downloads · 0 likes · Pipeline video-classification · Repo sumit7488/TimesFormerRefineOnHMDB51

Note6 agohuggingface.co/sumit7488/TimesFormerRefineOnHMDB51

Source context: 4 downloads · 0 likes · Pipeline video-classification · Repo sumit7488/TimesFormerRefineOnHMDB51