Instructions to use FormlessAI/Qwen2.5-3B-Instruct-Code-TogetherAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use FormlessAI/Qwen2.5-3B-Instruct-Code-TogetherAI with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "FormlessAI/Qwen2.5-3B-Instruct-Code-TogetherAI") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "eval_steps": 42, | |
| "global_step": 42, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.047619047619047616, | |
| "grad_norm": 1.7856502532958984, | |
| "learning_rate": 1e-05, | |
| "loss": 1.2998046875, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.09523809523809523, | |
| "grad_norm": 1.7217988967895508, | |
| "learning_rate": 9.986018985905901e-06, | |
| "loss": 1.2275390625, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.14285714285714285, | |
| "grad_norm": 1.4862382411956787, | |
| "learning_rate": 9.944154131125643e-06, | |
| "loss": 1.1005859375, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.19047619047619047, | |
| "grad_norm": 1.64996337890625, | |
| "learning_rate": 9.874639560909118e-06, | |
| "loss": 1.10205078125, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.23809523809523808, | |
| "grad_norm": 1.2898013591766357, | |
| "learning_rate": 9.777864028930705e-06, | |
| "loss": 0.91259765625, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.2857142857142857, | |
| "grad_norm": 1.2251713275909424, | |
| "learning_rate": 9.654368743221022e-06, | |
| "loss": 0.8291015625, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 1.2967991828918457, | |
| "learning_rate": 9.504844339512096e-06, | |
| "loss": 0.79736328125, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.38095238095238093, | |
| "grad_norm": 0.8783257603645325, | |
| "learning_rate": 9.330127018922195e-06, | |
| "loss": 0.67236328125, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.42857142857142855, | |
| "grad_norm": 0.5831462740898132, | |
| "learning_rate": 9.131193871579975e-06, | |
| "loss": 0.5126953125, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.47619047619047616, | |
| "grad_norm": 0.4697442352771759, | |
| "learning_rate": 8.90915741234015e-06, | |
| "loss": 0.545654296875, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.5238095238095238, | |
| "grad_norm": 0.33920571208000183, | |
| "learning_rate": 8.665259359149132e-06, | |
| "loss": 0.5191650390625, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.5714285714285714, | |
| "grad_norm": 0.3368586003780365, | |
| "learning_rate": 8.400863688854598e-06, | |
| "loss": 0.52978515625, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.6190476190476191, | |
| "grad_norm": 0.31900179386138916, | |
| "learning_rate": 8.117449009293668e-06, | |
| "loss": 0.539794921875, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 0.25366634130477905, | |
| "learning_rate": 7.81660029031811e-06, | |
| "loss": 0.52490234375, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.7142857142857143, | |
| "grad_norm": 0.21215789020061493, | |
| "learning_rate": 7.500000000000001e-06, | |
| "loss": 0.50341796875, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.7619047619047619, | |
| "grad_norm": 0.2041260004043579, | |
| "learning_rate": 7.169418695587791e-06, | |
| "loss": 0.49560546875, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.8095238095238095, | |
| "grad_norm": 0.17790615558624268, | |
| "learning_rate": 6.8267051218319766e-06, | |
| "loss": 0.508056640625, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.8571428571428571, | |
| "grad_norm": 0.15687698125839233, | |
| "learning_rate": 6.473775872054522e-06, | |
| "loss": 0.534912109375, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.9047619047619048, | |
| "grad_norm": 0.12181716412305832, | |
| "learning_rate": 6.112604669781572e-06, | |
| "loss": 0.49560546875, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.9523809523809523, | |
| "grad_norm": 0.07874012738466263, | |
| "learning_rate": 5.745211330880872e-06, | |
| "loss": 0.48046875, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.16810809075832367, | |
| "learning_rate": 5.373650467932122e-06, | |
| "loss": 0.51318359375, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 1.0476190476190477, | |
| "grad_norm": 0.13423927128314972, | |
| "learning_rate": 5e-06, | |
| "loss": 0.49609375, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 1.0952380952380953, | |
| "grad_norm": 0.11767170578241348, | |
| "learning_rate": 4.626349532067879e-06, | |
| "loss": 0.4853515625, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 1.1428571428571428, | |
| "grad_norm": 0.11554888635873795, | |
| "learning_rate": 4.254788669119127e-06, | |
| "loss": 0.51318359375, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 1.1904761904761905, | |
| "grad_norm": 0.1263965666294098, | |
| "learning_rate": 3.887395330218429e-06, | |
| "loss": 0.5048828125, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.2380952380952381, | |
| "grad_norm": 0.09703799337148666, | |
| "learning_rate": 3.526224127945479e-06, | |
| "loss": 0.492919921875, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.2857142857142856, | |
| "grad_norm": 0.09051357209682465, | |
| "learning_rate": 3.173294878168025e-06, | |
| "loss": 0.49169921875, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 0.10393014550209045, | |
| "learning_rate": 2.83058130441221e-06, | |
| "loss": 0.504150390625, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.380952380952381, | |
| "grad_norm": 0.06461871415376663, | |
| "learning_rate": 2.5000000000000015e-06, | |
| "loss": 0.50927734375, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.4285714285714286, | |
| "grad_norm": 0.058113571256399155, | |
| "learning_rate": 2.1833997096818897e-06, | |
| "loss": 0.4197998046875, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.4761904761904763, | |
| "grad_norm": 0.06653960049152374, | |
| "learning_rate": 1.8825509907063328e-06, | |
| "loss": 0.478759765625, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.5238095238095237, | |
| "grad_norm": 0.06834722310304642, | |
| "learning_rate": 1.5991363111454023e-06, | |
| "loss": 0.462646484375, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.5714285714285714, | |
| "grad_norm": 0.0657752975821495, | |
| "learning_rate": 1.3347406408508695e-06, | |
| "loss": 0.477294921875, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.619047619047619, | |
| "grad_norm": 0.07572554051876068, | |
| "learning_rate": 1.0908425876598512e-06, | |
| "loss": 0.491943359375, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 0.07082884013652802, | |
| "learning_rate": 8.688061284200266e-07, | |
| "loss": 0.487548828125, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 1.7142857142857144, | |
| "grad_norm": 0.06343502551317215, | |
| "learning_rate": 6.698729810778065e-07, | |
| "loss": 0.470947265625, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.7619047619047619, | |
| "grad_norm": 0.06430655717849731, | |
| "learning_rate": 4.951556604879049e-07, | |
| "loss": 0.467529296875, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 1.8095238095238095, | |
| "grad_norm": 0.08241258561611176, | |
| "learning_rate": 3.4563125677897936e-07, | |
| "loss": 0.484375, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.8571428571428572, | |
| "grad_norm": 0.0810951218008995, | |
| "learning_rate": 2.2213597106929608e-07, | |
| "loss": 0.515380859375, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.9047619047619047, | |
| "grad_norm": 0.07861144840717316, | |
| "learning_rate": 1.253604390908819e-07, | |
| "loss": 0.48046875, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.9523809523809523, | |
| "grad_norm": 0.06533784419298172, | |
| "learning_rate": 5.584586887435739e-08, | |
| "loss": 0.4716796875, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.1391107738018036, | |
| "learning_rate": 1.3981014094099354e-08, | |
| "loss": 0.5010986328125, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.4776611328125, | |
| "eval_runtime": 0.5315, | |
| "eval_samples_per_second": 7.526, | |
| "eval_steps_per_second": 1.882, | |
| "step": 42 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 42, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 0, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 7.357626326817178e+16, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |