Text Generation
PEFT
Safetensors
English
llama4_text
adaption-labs
autoscientist
finance
sec-filings
financial-arithmetic
table-reasoning
lora
hackathon
conversational
4-bit precision
bitsandbytes
Instructions to use narendarcodes/adaption-sec-financial-arithmetic-109b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use narendarcodes/adaption-sec-financial-arithmetic-109b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-4-Scout-17B-16E-Instruct_bnb_4bit") model = PeftModel.from_pretrained(base_model, "narendarcodes/adaption-sec-financial-arithmetic-109b") - Notebooks
- Google Colab
- Kaggle
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 4, | |
| "global_step": 21, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.047619047619047616, | |
| "grad_norm": 1.030305027961731, | |
| "learning_rate": 0.0, | |
| "loss": 2.7470703125, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.09523809523809523, | |
| "grad_norm": 1.1125051975250244, | |
| "learning_rate": 1e-05, | |
| "loss": 2.830078125, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.14285714285714285, | |
| "grad_norm": 0.7187039852142334, | |
| "learning_rate": 2e-05, | |
| "loss": 2.2998046875, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.19047619047619047, | |
| "grad_norm": 1.1063803434371948, | |
| "learning_rate": 1.9877251730624504e-05, | |
| "loss": 3.041015625, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.23809523809523808, | |
| "grad_norm": 0.6889466643333435, | |
| "learning_rate": 1.9512355175305713e-05, | |
| "loss": 2.1376953125, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.23809523809523808, | |
| "eval_loss": 2.296875, | |
| "eval_runtime": 5.3912, | |
| "eval_samples_per_second": 0.371, | |
| "eval_steps_per_second": 0.185, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.2857142857142857, | |
| "grad_norm": 0.7164807319641113, | |
| "learning_rate": 1.89152637608584e-05, | |
| "loss": 2.130859375, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 1.202832579612732, | |
| "learning_rate": 1.8102264584567543e-05, | |
| "loss": 2.873046875, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.38095238095238093, | |
| "grad_norm": 0.9575077295303345, | |
| "learning_rate": 1.709553414463167e-05, | |
| "loss": 2.392578125, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.42857142857142855, | |
| "grad_norm": 0.8331758379936218, | |
| "learning_rate": 1.5922533423101843e-05, | |
| "loss": 2.23828125, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.42857142857142855, | |
| "eval_loss": 2.0, | |
| "eval_runtime": 5.2865, | |
| "eval_samples_per_second": 0.378, | |
| "eval_steps_per_second": 0.189, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.47619047619047616, | |
| "grad_norm": 0.7220287322998047, | |
| "learning_rate": 1.4615258821876728e-05, | |
| "loss": 1.9892578125, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.5238095238095238, | |
| "grad_norm": 0.8401488065719604, | |
| "learning_rate": 1.3209369384267194e-05, | |
| "loss": 2.3359375, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.5714285714285714, | |
| "grad_norm": 0.8397203087806702, | |
| "learning_rate": 1.1743214109250994e-05, | |
| "loss": 2.4375, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.6190476190476191, | |
| "grad_norm": 0.7059556841850281, | |
| "learning_rate": 1.0256785890749011e-05, | |
| "loss": 2.181640625, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.6190476190476191, | |
| "eval_loss": 1.77734375, | |
| "eval_runtime": 5.2751, | |
| "eval_samples_per_second": 0.379, | |
| "eval_steps_per_second": 0.19, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 0.665387749671936, | |
| "learning_rate": 8.790630615732809e-06, | |
| "loss": 2.12109375, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.7142857142857143, | |
| "grad_norm": 0.5787039399147034, | |
| "learning_rate": 7.384741178123278e-06, | |
| "loss": 1.9638671875, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.7619047619047619, | |
| "grad_norm": 0.5149873495101929, | |
| "learning_rate": 6.077466576898161e-06, | |
| "loss": 1.7607421875, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.8095238095238095, | |
| "grad_norm": 0.5400381088256836, | |
| "learning_rate": 4.904465855368333e-06, | |
| "loss": 1.9052734375, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.8095238095238095, | |
| "eval_loss": 1.6875, | |
| "eval_runtime": 5.2687, | |
| "eval_samples_per_second": 0.38, | |
| "eval_steps_per_second": 0.19, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.8571428571428571, | |
| "grad_norm": 0.4548075795173645, | |
| "learning_rate": 3.89773541543246e-06, | |
| "loss": 1.66064453125, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.9047619047619048, | |
| "grad_norm": 0.473891943693161, | |
| "learning_rate": 3.0847362391415995e-06, | |
| "loss": 1.677734375, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.9523809523809523, | |
| "grad_norm": 0.46464210748672485, | |
| "learning_rate": 2.4876448246942884e-06, | |
| "loss": 1.767578125, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.5290471315383911, | |
| "learning_rate": 2.1227482693754995e-06, | |
| "loss": 2.05859375, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 1.65625, | |
| "eval_runtime": 5.2649, | |
| "eval_samples_per_second": 0.38, | |
| "eval_steps_per_second": 0.19, | |
| "step": 21 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 21, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "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": 1.396989743899607e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |