Training complete

README.md

@@ -15,6 +15,8 @@ should probably proofread and complete it, then remove this comment. -->
 # LDCC-finetuning
 
 This model is a fine-tuned version of [LDCC/LDCC-SOLAR-10.7B](https://huggingface.co/LDCC/LDCC-SOLAR-10.7B) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7299
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+ "epoch": 3.0,
+ "eval_loss": 0.7299028038978577,
+ "eval_runtime": 101.4278,
+ "eval_samples_per_second": 1.094,
+ "eval_steps_per_second": 0.069,
+ "total_flos": 3.744392573136077e+16,
+ "train_loss": 0.5652910582129917,
+ "train_runtime": 2830.2027,
+ "train_samples_per_second": 0.353,
+ "train_steps_per_second": 0.089
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+ "epoch": 3.0,
+ "eval_loss": 0.7299028038978577,
+ "eval_runtime": 101.4278,
+ "eval_samples_per_second": 1.094,
+ "eval_steps_per_second": 0.069
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+ "epoch": 3.0,
+ "total_flos": 3.744392573136077e+16,
+ "train_loss": 0.5652910582129917,
+ "train_runtime": 2830.2027,
+ "train_samples_per_second": 0.353,
+ "train_steps_per_second": 0.089
+}

trainer_state.json

@@ -0,0 +1,205 @@
+{
+ "best_metric": null,
+ "best_model_checkpoint": null,
+ "epoch": 3.0,
+ "eval_steps": 500,
+ "global_step": 252,
+ "is_hyper_param_search": false,
+ "is_local_process_zero": true,
+ "is_world_process_zero": true,
+ "log_history": [
+ {
+ "epoch": 0.12,
+ "grad_norm": 350422.84375,
+ "learning_rate": 0.0002988358809900258,
+ "loss": 1.2276,
+ "step": 10
+ },
+ {
+ "epoch": 0.24,
+ "grad_norm": 127592.3203125,
+ "learning_rate": 0.00029536159293436166,
+ "loss": 0.7731,
+ "step": 20
+ },
+ {
+ "epoch": 0.36,
+ "grad_norm": 113769.28125,
+ "learning_rate": 0.00028963106229663063,
+ "loss": 0.7033,
+ "step": 30
+ },
+ {
+ "epoch": 0.48,
+ "grad_norm": 109609.40625,
+ "learning_rate": 0.0002817332360055343,
+ "loss": 0.7912,
+ "step": 40
+ },
+ {
+ "epoch": 0.6,
+ "grad_norm": 130476.6171875,
+ "learning_rate": 0.0002717907008573785,
+ "loss": 0.7413,
+ "step": 50
+ },
+ {
+ "epoch": 0.71,
+ "grad_norm": 86021.2265625,
+ "learning_rate": 0.0002599577807744739,
+ "loss": 0.7233,
+ "step": 60
+ },
+ {
+ "epoch": 0.83,
+ "grad_norm": 87099.53125,
+ "learning_rate": 0.0002464181414529809,
+ "loss": 0.759,
+ "step": 70
+ },
+ {
+ "epoch": 0.95,
+ "grad_norm": 79031.671875,
+ "learning_rate": 0.0002313819395798639,
+ "loss": 0.7152,
+ "step": 80
+ },
+ {
+ "epoch": 1.07,
+ "grad_norm": 96164.9609375,
+ "learning_rate": 0.00021508256086763368,
+ "loss": 0.6194,
+ "step": 90
+ },
+ {
+ "epoch": 1.19,
+ "grad_norm": 82587.0859375,
+ "learning_rate": 0.00019777299753775265,
+ "loss": 0.5308,
+ "step": 100
+ },
+ {
+ "epoch": 1.31,
+ "grad_norm": 83371.2578125,
+ "learning_rate": 0.0001797219214799096,
+ "loss": 0.5415,
+ "step": 110
+ },
+ {
+ "epoch": 1.43,
+ "grad_norm": 107494.8984375,
+ "learning_rate": 0.00016120951403796364,
+ "loss": 0.5953,
+ "step": 120
+ },
+ {
+ "epoch": 1.55,
+ "grad_norm": 110181.2578125,
+ "learning_rate": 0.0001425231171508954,
+ "loss": 0.591,
+ "step": 130
+ },
+ {
+ "epoch": 1.67,
+ "grad_norm": 84472.59375,
+ "learning_rate": 0.00012395277334996044,
+ "loss": 0.5071,
+ "step": 140
+ },
+ {
+ "epoch": 1.79,
+ "grad_norm": 72922.546875,
+ "learning_rate": 0.00010578672383836435,
+ "loss": 0.5188,
+ "step": 150
+ },
+ {
+ "epoch": 1.9,
+ "grad_norm": 84903.71875,
+ "learning_rate": 8.830693453040829e-05,
+ "loss": 0.5508,
+ "step": 160
+ },
+ {
+ "epoch": 2.02,
+ "grad_norm": 71174.5546875,
+ "learning_rate": 7.17847194930753e-05,
+ "loss": 0.4979,
+ "step": 170
+ },
+ {
+ "epoch": 2.14,
+ "grad_norm": 190946.0625,
+ "learning_rate": 5.6476529721189974e-05,
+ "loss": 0.3451,
+ "step": 180
+ },
+ {
+ "epoch": 2.26,
+ "grad_norm": 73154.4609375,
+ "learning_rate": 4.261997261104223e-05,
+ "loss": 0.3543,
+ "step": 190
+ },
+ {
+ "epoch": 2.38,
+ "grad_norm": 97452.4453125,
+ "learning_rate": 3.0430123916561672e-05,
+ "loss": 0.3384,
+ "step": 200
+ },
+ {
+ "epoch": 2.5,
+ "grad_norm": 75840.453125,
+ "learning_rate": 2.009618943233419e-05,
+ "loss": 0.3708,
+ "step": 210
+ },
+ {
+ "epoch": 2.62,
+ "grad_norm": 101251.2578125,
+ "learning_rate": 1.1778568219438839e-05,
+ "loss": 0.354,
+ "step": 220
+ },
+ {
+ "epoch": 2.74,
+ "grad_norm": 77960.1015625,
+ "learning_rate": 5.606362957498195e-06,
+ "loss": 0.3275,
+ "step": 230
+ },
+ {
+ "epoch": 2.86,
+ "grad_norm": 92760.578125,
+ "learning_rate": 1.6753760662307215e-06,
+ "loss": 0.3273,
+ "step": 240
+ },
+ {
+ "epoch": 2.98,
+ "grad_norm": 78068.015625,
+ "learning_rate": 4.662269987756317e-08,
+ "loss": 0.3638,
+ "step": 250
+ },
+ {
+ "epoch": 3.0,
+ "step": 252,
+ "total_flos": 3.744392573136077e+16,
+ "train_loss": 0.5652910582129917,
+ "train_runtime": 2830.2027,
+ "train_samples_per_second": 0.353,
+ "train_steps_per_second": 0.089
+ }
+ ],
+ "logging_steps": 10,
+ "max_steps": 252,
+ "num_input_tokens_seen": 0,
+ "num_train_epochs": 3,
+ "save_steps": 10,
+ "total_flos": 3.744392573136077e+16,
+ "train_batch_size": 4,
+ "trial_name": null,
+ "trial_params": null
+}