Instructions to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4f3782a6-7b9f-4ebe-b488-6b278dfed6e4") model = PeftModel.from_pretrained(base_model, "cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c: direct link, hf CLI and curl.
- Browser
- Download file 4.25 kB
-
https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/main/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/cvoffer/ca49da4b-0b0c-4714-9568-1ff2eaac2b6c/resolve/main/last-checkpoint/trainer_state.json
4.25 kB
| { | |
| "best_metric": 1.4709290266036987, | |
| "best_model_checkpoint": "miner_id_24/checkpoint-30", | |
| "epoch": 0.0011969119671248179, | |
| "eval_steps": 5, | |
| "global_step": 30, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 3.9897065570827266e-05, | |
| "eval_loss": 2.117204189300537, | |
| "eval_runtime": 2251.1802, | |
| "eval_samples_per_second": 4.688, | |
| "eval_steps_per_second": 2.344, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.0001196911967124818, | |
| "grad_norm": 1.0353018045425415, | |
| "learning_rate": 0.00012, | |
| "loss": 1.8489, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.00019948532785413634, | |
| "eval_loss": 1.8039857149124146, | |
| "eval_runtime": 2284.5934, | |
| "eval_samples_per_second": 4.62, | |
| "eval_steps_per_second": 2.31, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.0002393823934249636, | |
| "grad_norm": 0.9052342772483826, | |
| "learning_rate": 0.0001992114701314478, | |
| "loss": 1.7178, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.0003590735901374454, | |
| "grad_norm": 0.7083010673522949, | |
| "learning_rate": 0.00018763066800438636, | |
| "loss": 1.5257, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.0003989706557082727, | |
| "eval_loss": 1.5616681575775146, | |
| "eval_runtime": 2281.4959, | |
| "eval_samples_per_second": 4.626, | |
| "eval_steps_per_second": 2.313, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.0004787647868499272, | |
| "grad_norm": 0.612604558467865, | |
| "learning_rate": 0.000163742398974869, | |
| "loss": 1.5036, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.0005984559835624089, | |
| "grad_norm": 0.6625750660896301, | |
| "learning_rate": 0.00013090169943749476, | |
| "loss": 1.5145, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.0005984559835624089, | |
| "eval_loss": 1.4995189905166626, | |
| "eval_runtime": 2282.0838, | |
| "eval_samples_per_second": 4.625, | |
| "eval_steps_per_second": 2.312, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.0007181471802748908, | |
| "grad_norm": 0.6003637909889221, | |
| "learning_rate": 9.372094804706867e-05, | |
| "loss": 1.4118, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.0007979413114165454, | |
| "eval_loss": 1.4814709424972534, | |
| "eval_runtime": 2279.4137, | |
| "eval_samples_per_second": 4.63, | |
| "eval_steps_per_second": 2.315, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.0008378383769873726, | |
| "grad_norm": 0.5599179863929749, | |
| "learning_rate": 5.7422070843492734e-05, | |
| "loss": 1.4394, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.0009575295736998544, | |
| "grad_norm": 0.5533298254013062, | |
| "learning_rate": 2.7103137257858868e-05, | |
| "loss": 1.3392, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.0009974266392706816, | |
| "eval_loss": 1.47230863571167, | |
| "eval_runtime": 2280.0193, | |
| "eval_samples_per_second": 4.629, | |
| "eval_steps_per_second": 2.314, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.0010772207704123362, | |
| "grad_norm": 0.5216392874717712, | |
| "learning_rate": 7.022351411174866e-06, | |
| "loss": 1.4882, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.0011969119671248179, | |
| "grad_norm": 0.5612313747406006, | |
| "learning_rate": 0.0, | |
| "loss": 1.4671, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.0011969119671248179, | |
| "eval_loss": 1.4709290266036987, | |
| "eval_runtime": 2282.1443, | |
| "eval_samples_per_second": 4.625, | |
| "eval_steps_per_second": 2.312, | |
| "step": 30 | |
| } | |
| ], | |
| "logging_steps": 3, | |
| "max_steps": 30, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 10, | |
| "stateful_callbacks": { | |
| "EarlyStoppingCallback": { | |
| "args": { | |
| "early_stopping_patience": 1, | |
| "early_stopping_threshold": 0.0 | |
| }, | |
| "attributes": { | |
| "early_stopping_patience_counter": 0 | |
| } | |
| }, | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.1221045163851776e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |