Instructions to use sindhusatish97/sparq-qwen2.5-14b-continued-sft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sindhusatish97/sparq-qwen2.5-14b-continued-sft with PEFT:
Base model is not found.
- Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.05362469417166605, | |
| "eval_steps": 500, | |
| "global_step": 200, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.005362469417166605, | |
| "grad_norm": 0.050072263926267624, | |
| "learning_rate": 1.4961796246648793e-05, | |
| "loss": 1.0673207283020019, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.01072493883433321, | |
| "grad_norm": 0.06825340539216995, | |
| "learning_rate": 1.4921581769436997e-05, | |
| "loss": 0.9185627937316895, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.016087408251499815, | |
| "grad_norm": 0.06827432662248611, | |
| "learning_rate": 1.48813672922252e-05, | |
| "loss": 0.7999343872070312, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.02144987766866642, | |
| "grad_norm": 0.05807405710220337, | |
| "learning_rate": 1.4841152815013404e-05, | |
| "loss": 0.7322770595550537, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.026812347085833025, | |
| "grad_norm": 0.06654328852891922, | |
| "learning_rate": 1.4800938337801608e-05, | |
| "loss": 0.7097890377044678, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.03217481650299963, | |
| "grad_norm": 0.09104783087968826, | |
| "learning_rate": 1.4760723860589812e-05, | |
| "loss": 0.6513629913330078, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.03753728592016624, | |
| "grad_norm": 0.10718850791454315, | |
| "learning_rate": 1.4720509383378015e-05, | |
| "loss": 0.678717851638794, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.04289975533733284, | |
| "grad_norm": 0.09187154471874237, | |
| "learning_rate": 1.4680294906166219e-05, | |
| "loss": 0.647278118133545, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.04826222475449945, | |
| "grad_norm": 0.07148946076631546, | |
| "learning_rate": 1.4640080428954423e-05, | |
| "loss": 0.6737877368927002, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.05362469417166605, | |
| "grad_norm": 0.08909227699041367, | |
| "learning_rate": 1.4599865951742626e-05, | |
| "loss": 0.6373191356658936, | |
| "step": 200 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 7460, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 200, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 2.461979015351501e+16, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |