End of training

README.md

@@ -2,6 +2,7 @@
 library_name: peft
 tags:
 - llama-factory
+- lora
 - generated_from_trainer
 base_model: meta-llama/Meta-Llama-3-8B
 model-index:
@@ -14,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Llama3_AAID_mixed_train_final
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the AAID_mixed dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8542
+- Loss: 0.8113
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 0.17500683620453925,
+    "eval_loss": 0.8112931251525879,
+    "eval_runtime": 2006.8285,
+    "eval_samples_per_second": 23.48,
+    "eval_steps_per_second": 0.734,
+    "total_flos": 2.8452078024759706e+17,
+    "train_loss": 0.4666908696293831,
+    "train_runtime": 39003.3227,
+    "train_samples_per_second": 18.002,
+    "train_steps_per_second": 0.07
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 0.17500683620453925,
+    "eval_loss": 0.8112931251525879,
+    "eval_runtime": 2006.8285,
+    "eval_samples_per_second": 23.48,
+    "eval_steps_per_second": 0.734
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 0.17500683620453925,
+    "total_flos": 2.8452078024759706e+17,
+    "train_loss": 0.4666908696293831,
+    "train_runtime": 39003.3227,
+    "train_samples_per_second": 18.002,
+    "train_steps_per_second": 0.07
+}

trainer_state.json

@@ -0,0 +1,291 @@
+{
+  "best_metric": 0.8112931251525879,
+  "best_model_checkpoint": "saves/LLaMA3-8B/lora/train_1/checkpoint-110",
+  "epoch": 0.17500683620453925,
+  "eval_steps": 10,
+  "global_step": 160,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.010937927262783703,
+      "grad_norm": 1.4765043258666992,
+      "learning_rate": 0.00029999015487222375,
+      "loss": 1.0078,
+      "step": 10
+    },
+    {
+      "epoch": 0.010937927262783703,
+      "eval_loss": 0.9145990014076233,
+      "eval_runtime": 2007.1957,
+      "eval_samples_per_second": 23.476,
+      "eval_steps_per_second": 0.734,
+      "step": 10
+    },
+    {
+      "epoch": 0.021875854525567406,
+      "grad_norm": 0.5130007266998291,
+      "learning_rate": 0.00029996062078124905,
+      "loss": 0.5077,
+      "step": 20
+    },
+    {
+      "epoch": 0.021875854525567406,
+      "eval_loss": 0.836322009563446,
+      "eval_runtime": 2008.0976,
+      "eval_samples_per_second": 23.465,
+      "eval_steps_per_second": 0.734,
+      "step": 20
+    },
+    {
+      "epoch": 0.03281378178835111,
+      "grad_norm": 0.6383033394813538,
+      "learning_rate": 0.0002999114016039678,
+      "loss": 0.4613,
+      "step": 30
+    },
+    {
+      "epoch": 0.03281378178835111,
+      "eval_loss": 0.8337860703468323,
+      "eval_runtime": 2007.8768,
+      "eval_samples_per_second": 23.468,
+      "eval_steps_per_second": 0.734,
+      "step": 30
+    },
+    {
+      "epoch": 0.04375170905113481,
+      "grad_norm": 0.4186599552631378,
+      "learning_rate": 0.00029984250380130117,
+      "loss": 0.4794,
+      "step": 40
+    },
+    {
+      "epoch": 0.04375170905113481,
+      "eval_loss": 0.8337470889091492,
+      "eval_runtime": 2006.2999,
+      "eval_samples_per_second": 23.486,
+      "eval_steps_per_second": 0.734,
+      "step": 40
+    },
+    {
+      "epoch": 0.05468963631391851,
+      "grad_norm": 0.39893779158592224,
+      "learning_rate": 0.0002997539364173515,
+      "loss": 0.4624,
+      "step": 50
+    },
+    {
+      "epoch": 0.05468963631391851,
+      "eval_loss": 0.8181310892105103,
+      "eval_runtime": 2006.8912,
+      "eval_samples_per_second": 23.479,
+      "eval_steps_per_second": 0.734,
+      "step": 50
+    },
+    {
+      "epoch": 0.06562756357670221,
+      "grad_norm": 0.3842828571796417,
+      "learning_rate": 0.00029964571107821494,
+      "loss": 0.4366,
+      "step": 60
+    },
+    {
+      "epoch": 0.06562756357670221,
+      "eval_loss": 0.8186683058738708,
+      "eval_runtime": 2007.9415,
+      "eval_samples_per_second": 23.467,
+      "eval_steps_per_second": 0.734,
+      "step": 60
+    },
+    {
+      "epoch": 0.07656549083948591,
+      "grad_norm": 0.36217156052589417,
+      "learning_rate": 0.00029951784199045534,
+      "loss": 0.4323,
+      "step": 70
+    },
+    {
+      "epoch": 0.07656549083948591,
+      "eval_loss": 0.8172433972358704,
+      "eval_runtime": 2006.1302,
+      "eval_samples_per_second": 23.488,
+      "eval_steps_per_second": 0.734,
+      "step": 70
+    },
+    {
+      "epoch": 0.08750341810226962,
+      "grad_norm": 0.3985615074634552,
+      "learning_rate": 0.0002993703459392396,
+      "loss": 0.433,
+      "step": 80
+    },
+    {
+      "epoch": 0.08750341810226962,
+      "eval_loss": 0.8255128860473633,
+      "eval_runtime": 2007.4062,
+      "eval_samples_per_second": 23.473,
+      "eval_steps_per_second": 0.734,
+      "step": 80
+    },
+    {
+      "epoch": 0.09844134536505332,
+      "grad_norm": 0.38471728563308716,
+      "learning_rate": 0.00029920324228613376,
+      "loss": 0.4401,
+      "step": 90
+    },
+    {
+      "epoch": 0.09844134536505332,
+      "eval_loss": 0.8299794793128967,
+      "eval_runtime": 2006.2366,
+      "eval_samples_per_second": 23.487,
+      "eval_steps_per_second": 0.734,
+      "step": 90
+    },
+    {
+      "epoch": 0.10937927262783702,
+      "grad_norm": 0.4009046256542206,
+      "learning_rate": 0.0002990165529665622,
+      "loss": 0.4019,
+      "step": 100
+    },
+    {
+      "epoch": 0.10937927262783702,
+      "eval_loss": 0.8478946089744568,
+      "eval_runtime": 2006.4757,
+      "eval_samples_per_second": 23.484,
+      "eval_steps_per_second": 0.734,
+      "step": 100
+    },
+    {
+      "epoch": 0.12031719989062073,
+      "grad_norm": 0.3922439515590668,
+      "learning_rate": 0.0002988103024869277,
+      "loss": 0.4112,
+      "step": 110
+    },
+    {
+      "epoch": 0.12031719989062073,
+      "eval_loss": 0.8112931251525879,
+      "eval_runtime": 2005.6033,
+      "eval_samples_per_second": 23.494,
+      "eval_steps_per_second": 0.734,
+      "step": 110
+    },
+    {
+      "epoch": 0.13125512715340443,
+      "grad_norm": 0.37745875120162964,
+      "learning_rate": 0.00029858451792139453,
+      "loss": 0.4009,
+      "step": 120
+    },
+    {
+      "epoch": 0.13125512715340443,
+      "eval_loss": 0.845430314540863,
+      "eval_runtime": 2006.7483,
+      "eval_samples_per_second": 23.481,
+      "eval_steps_per_second": 0.734,
+      "step": 120
+    },
+    {
+      "epoch": 0.14219305441618812,
+      "grad_norm": 0.3471999764442444,
+      "learning_rate": 0.0002983392289083346,
+      "loss": 0.4023,
+      "step": 130
+    },
+    {
+      "epoch": 0.14219305441618812,
+      "eval_loss": 0.8435468077659607,
+      "eval_runtime": 2005.5353,
+      "eval_samples_per_second": 23.495,
+      "eval_steps_per_second": 0.734,
+      "step": 130
+    },
+    {
+      "epoch": 0.15313098167897182,
+      "grad_norm": 0.32064810395240784,
+      "learning_rate": 0.0002980744676464371,
+      "loss": 0.3924,
+      "step": 140
+    },
+    {
+      "epoch": 0.15313098167897182,
+      "eval_loss": 0.8307648301124573,
+      "eval_runtime": 2005.4412,
+      "eval_samples_per_second": 23.496,
+      "eval_steps_per_second": 0.735,
+      "step": 140
+    },
+    {
+      "epoch": 0.16406890894175555,
+      "grad_norm": 0.31663310527801514,
+      "learning_rate": 0.0002977902688904813,
+      "loss": 0.4079,
+      "step": 150
+    },
+    {
+      "epoch": 0.16406890894175555,
+      "eval_loss": 0.8372470140457153,
+      "eval_runtime": 2005.2559,
+      "eval_samples_per_second": 23.498,
+      "eval_steps_per_second": 0.735,
+      "step": 150
+    },
+    {
+      "epoch": 0.17500683620453925,
+      "grad_norm": 0.351032018661499,
+      "learning_rate": 0.00029748666994677467,
+      "loss": 0.3898,
+      "step": 160
+    },
+    {
+      "epoch": 0.17500683620453925,
+      "eval_loss": 0.8541739583015442,
+      "eval_runtime": 2005.8203,
+      "eval_samples_per_second": 23.492,
+      "eval_steps_per_second": 0.734,
+      "step": 160
+    },
+    {
+      "epoch": 0.17500683620453925,
+      "step": 160,
+      "total_flos": 2.8452078024759706e+17,
+      "train_loss": 0.4666908696293831,
+      "train_runtime": 39003.3227,
+      "train_samples_per_second": 18.002,
+      "train_steps_per_second": 0.07
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 2742,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 10,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "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": 2.8452078024759706e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}