Instructions to use The-Fool-09/debugzero_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use The-Fool-09/debugzero_model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("The-Fool-09/debugzero_model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use The-Fool-09/debugzero_model 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 The-Fool-09/debugzero_model 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 The-Fool-09/debugzero_model to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for The-Fool-09/debugzero_model to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="The-Fool-09/debugzero_model", max_seq_length=2048, )
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "eval_steps": 500, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 95.85, | |
| "completions/clipped_ratio": 0.125, | |
| "completions/max_length": 256.0, | |
| "completions/max_terminated_length": 195.6, | |
| "completions/mean_length": 95.85, | |
| "completions/mean_terminated_length": 72.8880989074707, | |
| "completions/min_length": 36.6, | |
| "completions/min_terminated_length": 36.6, | |
| "epoch": 0.5, | |
| "frac_reward_zero_std": 0.2, | |
| "grad_norm": 0.3041034936904907, | |
| "kl": 0.00021898818758927518, | |
| "learning_rate": 4e-05, | |
| "loss": 0.0329527884721756, | |
| "num_tokens": 21444.0, | |
| "reward": 0.7767857074737549, | |
| "reward_std": 0.7150911569595337, | |
| "rewards/reward_fn/mean": 0.7767857074737549, | |
| "rewards/reward_fn/std": 0.9959433197975158, | |
| "step": 5 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 95.1, | |
| "completions/clipped_ratio": 0.0875, | |
| "completions/max_length": 225.2, | |
| "completions/max_terminated_length": 159.2, | |
| "completions/mean_length": 95.1, | |
| "completions/mean_terminated_length": 80.34466400146485, | |
| "completions/min_length": 34.6, | |
| "completions/min_terminated_length": 34.6, | |
| "epoch": 1.0, | |
| "frac_reward_zero_std": 0.4, | |
| "grad_norm": 0.2708108425140381, | |
| "kl": 0.006061523332027719, | |
| "learning_rate": 9e-05, | |
| "loss": -0.016053691506385803, | |
| "num_tokens": 42220.0, | |
| "reward": 0.6875000119209289, | |
| "reward_std": 0.5175672590732574, | |
| "rewards/reward_fn/mean": 0.6875, | |
| "rewards/reward_fn/std": 0.8034753799438477, | |
| "step": 10 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 146.275, | |
| "completions/clipped_ratio": 0.325, | |
| "completions/max_length": 256.0, | |
| "completions/max_terminated_length": 225.4, | |
| "completions/mean_length": 146.275, | |
| "completions/mean_terminated_length": 92.8663101196289, | |
| "completions/min_length": 32.6, | |
| "completions/min_terminated_length": 32.6, | |
| "epoch": 1.5, | |
| "frac_reward_zero_std": 0.2, | |
| "grad_norm": 0.27529817819595337, | |
| "kl": 0.01560373855754733, | |
| "learning_rate": 9.989068136093873e-05, | |
| "loss": 0.010054035484790802, | |
| "num_tokens": 69198.0, | |
| "reward": 1.1558928728103637, | |
| "reward_std": 0.8465379416942597, | |
| "rewards/reward_fn/mean": 1.1558928728103637, | |
| "rewards/reward_fn/std": 1.1404805421829223, | |
| "step": 15 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 75.85, | |
| "completions/clipped_ratio": 0.05, | |
| "completions/max_length": 220.6, | |
| "completions/max_terminated_length": 151.0, | |
| "completions/mean_length": 75.85, | |
| "completions/mean_terminated_length": 66.14857330322266, | |
| "completions/min_length": 32.8, | |
| "completions/min_terminated_length": 32.8, | |
| "epoch": 2.0, | |
| "frac_reward_zero_std": 0.35, | |
| "grad_norm": 0.353487491607666, | |
| "kl": 0.027986684162169696, | |
| "learning_rate": 9.944739353007344e-05, | |
| "loss": -0.030885905027389526, | |
| "num_tokens": 87334.0, | |
| "reward": 0.7932142853736878, | |
| "reward_std": 0.4118983089923859, | |
| "rewards/reward_fn/mean": 0.7932142853736878, | |
| "rewards/reward_fn/std": 0.7167340397834778, | |
| "step": 20 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 90.85, | |
| "completions/clipped_ratio": 0.0625, | |
| "completions/max_length": 248.0, | |
| "completions/max_terminated_length": 216.4, | |
| "completions/mean_length": 90.85, | |
| "completions/mean_terminated_length": 79.819287109375, | |
| "completions/min_length": 28.0, | |
| "completions/min_terminated_length": 28.0, | |
| "epoch": 2.5, | |
| "frac_reward_zero_std": 0.15, | |
| "grad_norm": 0.3318491578102112, | |
| "kl": 0.04692814685404301, | |
| "learning_rate": 9.86663298624003e-05, | |
| "loss": 0.05783940553665161, | |
| "num_tokens": 108330.0, | |
| "reward": 1.1987500190734863, | |
| "reward_std": 0.5907092690467834, | |
| "rewards/reward_fn/mean": 1.1987500190734863, | |
| "rewards/reward_fn/std": 0.9482298731803894, | |
| "step": 25 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 91.775, | |
| "completions/clipped_ratio": 0.125, | |
| "completions/max_length": 248.2, | |
| "completions/max_terminated_length": 212.6, | |
| "completions/mean_length": 91.775, | |
| "completions/mean_terminated_length": 68.68722763061524, | |
| "completions/min_length": 25.2, | |
| "completions/min_terminated_length": 25.2, | |
| "epoch": 3.0, | |
| "frac_reward_zero_std": 0.4, | |
| "grad_norm": 0.24605490267276764, | |
| "kl": 0.07254143096506596, | |
| "learning_rate": 9.755282581475769e-05, | |
| "loss": 0.03934891819953919, | |
| "num_tokens": 129012.0, | |
| "reward": 1.0242857217788697, | |
| "reward_std": 0.5802445828914642, | |
| "rewards/reward_fn/mean": 1.0242857217788697, | |
| "rewards/reward_fn/std": 0.8706011414527893, | |
| "step": 30 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 59.7875, | |
| "completions/clipped_ratio": 0.0375, | |
| "completions/max_length": 175.6, | |
| "completions/max_terminated_length": 118.4, | |
| "completions/mean_length": 59.7875, | |
| "completions/mean_terminated_length": 52.19559555053711, | |
| "completions/min_length": 25.4, | |
| "completions/min_terminated_length": 25.4, | |
| "epoch": 3.5, | |
| "frac_reward_zero_std": 0.6, | |
| "grad_norm": 0.2970605790615082, | |
| "kl": 0.053099883161485194, | |
| "learning_rate": 9.611448774886924e-05, | |
| "loss": 0.06977529525756836, | |
| "num_tokens": 147103.0, | |
| "reward": 0.9473214387893677, | |
| "reward_std": 0.3923970699310303, | |
| "rewards/reward_fn/mean": 0.9473214268684387, | |
| "rewards/reward_fn/std": 0.649278998374939, | |
| "step": 35 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 47.85, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 94.8, | |
| "completions/max_terminated_length": 94.8, | |
| "completions/mean_length": 47.85, | |
| "completions/mean_terminated_length": 47.85, | |
| "completions/min_length": 31.2, | |
| "completions/min_terminated_length": 31.2, | |
| "epoch": 4.0, | |
| "frac_reward_zero_std": 0.85, | |
| "grad_norm": 0.16646049916744232, | |
| "kl": 0.056573960930109024, | |
| "learning_rate": 9.43611409721806e-05, | |
| "loss": -0.0031644195318222047, | |
| "num_tokens": 164643.0, | |
| "reward": 0.7899999976158142, | |
| "reward_std": 0.12681145668029786, | |
| "rewards/reward_fn/mean": 0.7899999976158142, | |
| "rewards/reward_fn/std": 0.5133758962154389, | |
| "step": 40 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 49.2625, | |
| "completions/clipped_ratio": 0.0, | |
| "completions/max_length": 93.6, | |
| "completions/max_terminated_length": 93.6, | |
| "completions/mean_length": 49.2625, | |
| "completions/mean_terminated_length": 49.2625, | |
| "completions/min_length": 33.8, | |
| "completions/min_terminated_length": 33.8, | |
| "epoch": 4.5, | |
| "frac_reward_zero_std": 0.6, | |
| "grad_norm": 0.3159082531929016, | |
| "kl": 0.0353464649990201, | |
| "learning_rate": 9.230476262104677e-05, | |
| "loss": -0.03417131304740906, | |
| "num_tokens": 182568.0, | |
| "reward": 0.7924999833106995, | |
| "reward_std": 0.3821385264396667, | |
| "rewards/reward_fn/mean": 0.7924999833106995, | |
| "rewards/reward_fn/std": 0.62625293135643, | |
| "step": 45 | |
| }, | |
| { | |
| "clip_ratio/high_max": 0.0, | |
| "clip_ratio/high_mean": 0.0, | |
| "clip_ratio/low_mean": 0.0, | |
| "clip_ratio/low_min": 0.0, | |
| "clip_ratio/region_mean": 0.0, | |
| "completion_length": 58.25, | |
| "completions/clipped_ratio": 0.0125, | |
| "completions/max_length": 180.6, | |
| "completions/max_terminated_length": 153.2, | |
| "completions/mean_length": 58.25, | |
| "completions/mean_terminated_length": 55.67250061035156, | |
| "completions/min_length": 33.2, | |
| "completions/min_terminated_length": 33.2, | |
| "epoch": 5.0, | |
| "frac_reward_zero_std": 0.55, | |
| "grad_norm": 0.27360936999320984, | |
| "kl": 0.04483541352674365, | |
| "learning_rate": 8.995939984474624e-05, | |
| "loss": 0.026852786540985107, | |
| "num_tokens": 200660.0, | |
| "reward": 0.774821424484253, | |
| "reward_std": 0.32772802114486693, | |
| "rewards/reward_fn/mean": 0.774821424484253, | |
| "rewards/reward_fn/std": 0.5432307064533234, | |
| "step": 50 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 200, | |
| "num_input_tokens_seen": 200660, | |
| "num_train_epochs": 20, | |
| "save_steps": 50, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |