End of training

README.md

@@ -3,6 +3,7 @@ license: apache-2.0
 library_name: peft
 tags:
 - llama-factory
+- lora
 - generated_from_trainer
 base_model: mistralai/Mistral-7B-Instruct-v0.3
 model-index:
@@ -15,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Mistral-7B-Instruct-v0.3-ORPO-SFT
 
-This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on an unknown dataset.
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the bct_non_cot_sft_1000 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0563
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.986666666666667,
+    "eval_loss": 0.05633977800607681,
+    "eval_runtime": 3.1751,
+    "eval_samples_per_second": 31.495,
+    "eval_steps_per_second": 15.748,
+    "total_flos": 1.5795369631678464e+16,
+    "train_loss": 0.11316087664592833,
+    "train_runtime": 355.6972,
+    "train_samples_per_second": 7.591,
+    "train_steps_per_second": 0.472
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.986666666666667,
+    "eval_loss": 0.05633977800607681,
+    "eval_runtime": 3.1751,
+    "eval_samples_per_second": 31.495,
+    "eval_steps_per_second": 15.748
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.986666666666667,
+    "total_flos": 1.5795369631678464e+16,
+    "train_loss": 0.11316087664592833,
+    "train_runtime": 355.6972,
+    "train_samples_per_second": 7.591,
+    "train_steps_per_second": 0.472
+}

trainer_state.json

@@ -0,0 +1,142 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.986666666666667,
+  "eval_steps": 500,
+  "global_step": 168,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.17777777777777778,
+      "grad_norm": 7.053971290588379,
+      "learning_rate": 4.97273712672844e-06,
+      "loss": 0.5704,
+      "step": 10
+    },
+    {
+      "epoch": 0.35555555555555557,
+      "grad_norm": 5.397775650024414,
+      "learning_rate": 4.861084470200228e-06,
+      "loss": 0.2394,
+      "step": 20
+    },
+    {
+      "epoch": 0.5333333333333333,
+      "grad_norm": 2.6659767627716064,
+      "learning_rate": 4.667009949002349e-06,
+      "loss": 0.1046,
+      "step": 30
+    },
+    {
+      "epoch": 0.7111111111111111,
+      "grad_norm": 3.866196870803833,
+      "learning_rate": 4.397288409237892e-06,
+      "loss": 0.0639,
+      "step": 40
+    },
+    {
+      "epoch": 0.8888888888888888,
+      "grad_norm": 3.2750980854034424,
+      "learning_rate": 4.061335419273658e-06,
+      "loss": 0.0841,
+      "step": 50
+    },
+    {
+      "epoch": 1.0666666666666667,
+      "grad_norm": 2.892080783843994,
+      "learning_rate": 3.6708785865814186e-06,
+      "loss": 0.1054,
+      "step": 60
+    },
+    {
+      "epoch": 1.2444444444444445,
+      "grad_norm": 3.0646233558654785,
+      "learning_rate": 3.239548164813544e-06,
+      "loss": 0.0709,
+      "step": 70
+    },
+    {
+      "epoch": 1.4222222222222223,
+      "grad_norm": 3.744271755218506,
+      "learning_rate": 2.782401242396799e-06,
+      "loss": 0.0684,
+      "step": 80
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 3.9203922748565674,
+      "learning_rate": 2.3153961224961665e-06,
+      "loss": 0.082,
+      "step": 90
+    },
+    {
+      "epoch": 1.7777777777777777,
+      "grad_norm": 2.8430514335632324,
+      "learning_rate": 1.854835242944048e-06,
+      "loss": 0.0505,
+      "step": 100
+    },
+    {
+      "epoch": 1.9555555555555557,
+      "grad_norm": 1.6261467933654785,
+      "learning_rate": 1.4167960829520933e-06,
+      "loss": 0.0843,
+      "step": 110
+    },
+    {
+      "epoch": 2.1333333333333333,
+      "grad_norm": 2.9942877292633057,
+      "learning_rate": 1.0165699227860215e-06,
+      "loss": 0.0642,
+      "step": 120
+    },
+    {
+      "epoch": 2.311111111111111,
+      "grad_norm": 1.675881266593933,
+      "learning_rate": 6.681280484488576e-07,
+      "loss": 0.0684,
+      "step": 130
+    },
+    {
+      "epoch": 2.488888888888889,
+      "grad_norm": 5.115616321563721,
+      "learning_rate": 3.8363403535449846e-07,
+      "loss": 0.0837,
+      "step": 140
+    },
+    {
+      "epoch": 2.6666666666666665,
+      "grad_norm": 2.429882287979126,
+      "learning_rate": 1.7301913642614382e-07,
+      "loss": 0.0603,
+      "step": 150
+    },
+    {
+      "epoch": 2.8444444444444446,
+      "grad_norm": 3.372321128845215,
+      "learning_rate": 4.3635597174694347e-08,
+      "loss": 0.06,
+      "step": 160
+    },
+    {
+      "epoch": 2.986666666666667,
+      "step": 168,
+      "total_flos": 1.5795369631678464e+16,
+      "train_loss": 0.11316087664592833,
+      "train_runtime": 355.6972,
+      "train_samples_per_second": 7.591,
+      "train_steps_per_second": 0.472
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 168,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 1.5795369631678464e+16,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}