Instructions to use Jeckmu/Qwen2-VL-7B-Instruct-GPTQ-Int4-lora-SurveillanceVideo-250210 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Jeckmu/Qwen2-VL-7B-Instruct-GPTQ-Int4-lora-SurveillanceVideo-250210 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-VL-7B-Instruct-GPTQ-Int4") model = PeftModel.from_pretrained(base_model, "Jeckmu/Qwen2-VL-7B-Instruct-GPTQ-Int4-lora-SurveillanceVideo-250210") - Notebooks
- Google Colab
- Kaggle
| {"current_steps": 5, "total_steps": 105, "loss": 0.5109, "lr": 4.972077065562821e-05, "epoch": 0.1413427561837456, "percentage": 4.76, "elapsed_time": "0:03:21", "remaining_time": "1:07:18", "throughput": 442.5, "total_tokens": 89360} | |
| {"current_steps": 10, "total_steps": 105, "loss": 0.2952, "lr": 4.888932014465352e-05, "epoch": 0.2826855123674912, "percentage": 9.52, "elapsed_time": "0:06:27", "remaining_time": "1:01:23", "throughput": 447.93, "total_tokens": 173680} | |
| {"current_steps": 15, "total_steps": 105, "loss": 0.3241, "lr": 4.752422169756048e-05, "epoch": 0.42402826855123676, "percentage": 14.29, "elapsed_time": "0:09:29", "remaining_time": "0:56:59", "throughput": 449.77, "total_tokens": 256320} | |
| {"current_steps": 20, "total_steps": 105, "loss": 0.3138, "lr": 4.5655969357899874e-05, "epoch": 0.5653710247349824, "percentage": 19.05, "elapsed_time": "0:13:08", "remaining_time": "0:55:51", "throughput": 449.07, "total_tokens": 354080} | |
| {"current_steps": 25, "total_steps": 105, "loss": 0.2359, "lr": 4.332629679574566e-05, "epoch": 0.7067137809187279, "percentage": 23.81, "elapsed_time": "0:16:30", "remaining_time": "0:52:49", "throughput": 449.43, "total_tokens": 445120} | |
| {"current_steps": 30, "total_steps": 105, "loss": 0.1926, "lr": 4.058724504646834e-05, "epoch": 0.8480565371024735, "percentage": 28.57, "elapsed_time": "0:19:52", "remaining_time": "0:49:40", "throughput": 449.79, "total_tokens": 536160} | |
| {"current_steps": 35, "total_steps": 105, "loss": 0.1344, "lr": 3.7500000000000003e-05, "epoch": 0.9893992932862191, "percentage": 33.33, "elapsed_time": "0:23:05", "remaining_time": "0:46:11", "throughput": 448.96, "total_tokens": 622160} | |
| {"current_steps": 40, "total_steps": 105, "loss": 0.1133, "lr": 3.413352560915988e-05, "epoch": 1.1130742049469964, "percentage": 38.1, "elapsed_time": "0:26:05", "remaining_time": "0:42:23", "throughput": 449.06, "total_tokens": 702992} | |
| {"current_steps": 45, "total_steps": 105, "loss": 0.0633, "lr": 3.056302334890786e-05, "epoch": 1.254416961130742, "percentage": 42.86, "elapsed_time": "0:29:30", "remaining_time": "0:39:21", "throughput": 449.33, "total_tokens": 795712} | |
| {"current_steps": 50, "total_steps": 105, "loss": 0.1865, "lr": 2.686825233966061e-05, "epoch": 1.3957597173144876, "percentage": 47.62, "elapsed_time": "0:32:44", "remaining_time": "0:36:00", "throughput": 448.07, "total_tokens": 880032} | |
| {"current_steps": 55, "total_steps": 105, "loss": 0.108, "lr": 2.3131747660339394e-05, "epoch": 1.5371024734982333, "percentage": 52.38, "elapsed_time": "0:36:03", "remaining_time": "0:32:46", "throughput": 448.14, "total_tokens": 969392} | |
| {"current_steps": 60, "total_steps": 105, "loss": 0.123, "lr": 1.9436976651092144e-05, "epoch": 1.6784452296819787, "percentage": 57.14, "elapsed_time": "0:39:28", "remaining_time": "0:29:36", "throughput": 447.05, "total_tokens": 1058752} | |
| {"current_steps": 65, "total_steps": 105, "loss": 0.0393, "lr": 1.5866474390840125e-05, "epoch": 1.8197879858657244, "percentage": 61.9, "elapsed_time": "0:42:33", "remaining_time": "0:26:11", "throughput": 447.63, "total_tokens": 1143072} | |
| {"current_steps": 70, "total_steps": 105, "loss": 0.0976, "lr": 1.2500000000000006e-05, "epoch": 1.96113074204947, "percentage": 66.67, "elapsed_time": "0:45:55", "remaining_time": "0:22:57", "throughput": 447.95, "total_tokens": 1234112} | |
| {"current_steps": 75, "total_steps": 105, "loss": 0.0783, "lr": 9.412754953531663e-06, "epoch": 2.0848056537102475, "percentage": 71.43, "elapsed_time": "0:48:26", "remaining_time": "0:19:22", "throughput": 448.42, "total_tokens": 1303184} | |
| {"current_steps": 80, "total_steps": 105, "loss": 0.0417, "lr": 6.673703204254347e-06, "epoch": 2.2261484098939928, "percentage": 76.19, "elapsed_time": "0:51:27", "remaining_time": "0:16:04", "throughput": 448.83, "total_tokens": 1385824} | |
| {"current_steps": 85, "total_steps": 105, "loss": 0.0604, "lr": 4.344030642100133e-06, "epoch": 2.3674911660777385, "percentage": 80.95, "elapsed_time": "0:54:48", "remaining_time": "0:12:53", "throughput": 449.04, "total_tokens": 1476864} | |
| {"current_steps": 90, "total_steps": 105, "loss": 0.0293, "lr": 2.475778302439524e-06, "epoch": 2.508833922261484, "percentage": 85.71, "elapsed_time": "0:58:22", "remaining_time": "0:09:43", "throughput": 448.19, "total_tokens": 1569584} | |
| {"current_steps": 95, "total_steps": 105, "loss": 0.0166, "lr": 1.1106798553464804e-06, "epoch": 2.65017667844523, "percentage": 90.48, "elapsed_time": "1:01:37", "remaining_time": "0:06:29", "throughput": 448.24, "total_tokens": 1657264} | |
| {"current_steps": 100, "total_steps": 105, "loss": 0.1126, "lr": 2.7922934437178695e-07, "epoch": 2.791519434628975, "percentage": 95.24, "elapsed_time": "1:05:01", "remaining_time": "0:03:15", "throughput": 447.66, "total_tokens": 1746624} | |
| {"current_steps": 105, "total_steps": 105, "loss": 0.0727, "lr": 0.0, "epoch": 2.932862190812721, "percentage": 100.0, "elapsed_time": "1:08:39", "remaining_time": "0:00:00", "throughput": 446.96, "total_tokens": 1841024} | |
| {"current_steps": 105, "total_steps": 105, "epoch": 2.932862190812721, "percentage": 100.0, "elapsed_time": "1:08:40", "remaining_time": "0:00:00", "throughput": 446.79, "total_tokens": 1841024} | |