Instructions to use Muhammed164/SDPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Muhammed164/SDPO with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Muhammed164/SDPO", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Unsloth Studio
How to use Muhammed164/SDPO with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Muhammed164/SDPO to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for Muhammed164/SDPO to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Muhammed164/SDPO to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="Muhammed164/SDPO", max_seq_length=2048, )
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.26586905948820205, | |
| "eval_steps": 500, | |
| "global_step": 100, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.026586905948820207, | |
| "grad_norm": 235.8455810546875, | |
| "learning_rate": 9e-06, | |
| "logits/chosen": 1.961168646812439, | |
| "logits/rejected": 2.3471131324768066, | |
| "logps/chosen": -180.52096557617188, | |
| "logps/rejected": -306.41729736328125, | |
| "loss": 41.09808349609375, | |
| "rewards/accuracies": 0.643750011920929, | |
| "rewards/chosen": 127.35591888427734, | |
| "rewards/margins": 56.6036376953125, | |
| "rewards/rejected": 70.75228118896484, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.053173811897640415, | |
| "grad_norm": 132.22105407714844, | |
| "learning_rate": 9e-06, | |
| "logits/chosen": 2.862368106842041, | |
| "logits/rejected": 3.0271706581115723, | |
| "logps/chosen": -199.9718017578125, | |
| "logps/rejected": -383.2444763183594, | |
| "loss": 30.093466186523436, | |
| "rewards/accuracies": 0.6812499761581421, | |
| "rewards/chosen": 132.59613037109375, | |
| "rewards/margins": 104.64494323730469, | |
| "rewards/rejected": 27.951187133789062, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.07976071784646062, | |
| "grad_norm": 234.4345703125, | |
| "learning_rate": 7.88888888888889e-06, | |
| "logits/chosen": 3.7322630882263184, | |
| "logits/rejected": 3.8905537128448486, | |
| "logps/chosen": -219.1993865966797, | |
| "logps/rejected": -487.88043212890625, | |
| "loss": 23.500108337402345, | |
| "rewards/accuracies": 0.768750011920929, | |
| "rewards/chosen": 141.04718017578125, | |
| "rewards/margins": 154.50144958496094, | |
| "rewards/rejected": -13.454266548156738, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.10634762379528083, | |
| "grad_norm": 110.76012420654297, | |
| "learning_rate": 6.777777777777779e-06, | |
| "logits/chosen": 3.839090347290039, | |
| "logits/rejected": 4.133347988128662, | |
| "logps/chosen": -210.9350128173828, | |
| "logps/rejected": -591.01513671875, | |
| "loss": 23.24909210205078, | |
| "rewards/accuracies": 0.7749999761581421, | |
| "rewards/chosen": 109.74186706542969, | |
| "rewards/margins": 179.082275390625, | |
| "rewards/rejected": -69.34040832519531, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.13293452974410103, | |
| "grad_norm": 221.89686584472656, | |
| "learning_rate": 5.666666666666667e-06, | |
| "logits/chosen": 5.0413312911987305, | |
| "logits/rejected": 5.170095920562744, | |
| "logps/chosen": -311.14190673828125, | |
| "logps/rejected": -735.1285400390625, | |
| "loss": 20.513507080078124, | |
| "rewards/accuracies": 0.762499988079071, | |
| "rewards/chosen": 93.5618667602539, | |
| "rewards/margins": 231.3604736328125, | |
| "rewards/rejected": -137.79861450195312, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.15952143569292124, | |
| "grad_norm": 190.1571044921875, | |
| "learning_rate": 4.555555555555556e-06, | |
| "logits/chosen": 5.5310869216918945, | |
| "logits/rejected": 5.918412208557129, | |
| "logps/chosen": -291.5699157714844, | |
| "logps/rejected": -943.5242919921875, | |
| "loss": 4.122843551635742, | |
| "rewards/accuracies": 0.925000011920929, | |
| "rewards/chosen": 46.140045166015625, | |
| "rewards/margins": 318.23345947265625, | |
| "rewards/rejected": -272.0934143066406, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.18610834164174145, | |
| "grad_norm": 20.02957534790039, | |
| "learning_rate": 3.444444444444445e-06, | |
| "logits/chosen": 6.543715476989746, | |
| "logits/rejected": 6.924801826477051, | |
| "logps/chosen": -418.068359375, | |
| "logps/rejected": -989.2503662109375, | |
| "loss": 5.07203254699707, | |
| "rewards/accuracies": 0.90625, | |
| "rewards/chosen": 34.52830123901367, | |
| "rewards/margins": 294.2066345214844, | |
| "rewards/rejected": -259.6783447265625, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.21269524759056166, | |
| "grad_norm": 365.81671142578125, | |
| "learning_rate": 2.3333333333333336e-06, | |
| "logits/chosen": 7.004462242126465, | |
| "logits/rejected": 7.306379795074463, | |
| "logps/chosen": -456.623291015625, | |
| "logps/rejected": -1127.0947265625, | |
| "loss": 4.6394092559814455, | |
| "rewards/accuracies": 0.9375, | |
| "rewards/chosen": 18.725841522216797, | |
| "rewards/margins": 349.7669372558594, | |
| "rewards/rejected": -331.0411071777344, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.23928215353938184, | |
| "grad_norm": 442.5915222167969, | |
| "learning_rate": 1.2222222222222223e-06, | |
| "logits/chosen": 7.063316345214844, | |
| "logits/rejected": 7.30740213394165, | |
| "logps/chosen": -479.52117919921875, | |
| "logps/rejected": -1115.75146484375, | |
| "loss": 3.6795909881591795, | |
| "rewards/accuracies": 0.9375, | |
| "rewards/chosen": 14.30505084991455, | |
| "rewards/margins": 339.4307556152344, | |
| "rewards/rejected": -325.1257019042969, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.26586905948820205, | |
| "grad_norm": 170.1773223876953, | |
| "learning_rate": 1.1111111111111112e-07, | |
| "logits/chosen": 6.971957206726074, | |
| "logits/rejected": 7.46600866317749, | |
| "logps/chosen": -429.0472106933594, | |
| "logps/rejected": -1123.8218994140625, | |
| "loss": 3.1557437896728517, | |
| "rewards/accuracies": 0.925000011920929, | |
| "rewards/chosen": 5.929503440856934, | |
| "rewards/margins": 339.28887939453125, | |
| "rewards/rejected": -333.359375, | |
| "step": 100 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 100, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 200, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |