End of training

README.md

@@ -4,6 +4,7 @@ license: llama3.1
 base_model: meta-llama/Meta-Llama-3.1-8B
 tags:
 - llama-factory
+- full
 - generated_from_trainer
 model-index:
 - name: llama3-1_8b_codefeedback
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama3-1_8b_codefeedback
 
-This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the mlfoundations-dev/codefeedback dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5123
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.5122517347335815,
+    "eval_runtime": 3.6309,
+    "eval_samples_per_second": 253.657,
+    "eval_steps_per_second": 1.102,
+    "total_flos": 175878910771200.0,
+    "train_loss": 0.5216304597400484,
+    "train_runtime": 1018.6655,
+    "train_samples_per_second": 51.529,
+    "train_steps_per_second": 0.103
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.5122517347335815,
+    "eval_runtime": 3.6309,
+    "eval_samples_per_second": 253.657,
+    "eval_steps_per_second": 1.102
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "total_flos": 175878910771200.0,
+    "train_loss": 0.5216304597400484,
+    "train_runtime": 1018.6655,
+    "train_samples_per_second": 51.529,
+    "train_steps_per_second": 0.103
+}

trainer_state.json

@@ -0,0 +1,136 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 105,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.2857142857142857,
+      "grad_norm": 10.168943192840892,
+      "learning_rate": 5e-06,
+      "loss": 0.6911,
+      "step": 10
+    },
+    {
+      "epoch": 0.5714285714285714,
+      "grad_norm": 1.3016207580367245,
+      "learning_rate": 5e-06,
+      "loss": 0.6052,
+      "step": 20
+    },
+    {
+      "epoch": 0.8571428571428571,
+      "grad_norm": 1.4046209891317623,
+      "learning_rate": 5e-06,
+      "loss": 0.559,
+      "step": 30
+    },
+    {
+      "epoch": 1.0,
+      "eval_loss": 0.5510295033454895,
+      "eval_runtime": 3.8699,
+      "eval_samples_per_second": 237.99,
+      "eval_steps_per_second": 1.034,
+      "step": 35
+    },
+    {
+      "epoch": 1.1428571428571428,
+      "grad_norm": 2.5391209192392252,
+      "learning_rate": 5e-06,
+      "loss": 0.5302,
+      "step": 40
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 0.9905615818164379,
+      "learning_rate": 5e-06,
+      "loss": 0.5087,
+      "step": 50
+    },
+    {
+      "epoch": 1.7142857142857144,
+      "grad_norm": 0.8530161834967939,
+      "learning_rate": 5e-06,
+      "loss": 0.4995,
+      "step": 60
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 0.6619830987803818,
+      "learning_rate": 5e-06,
+      "loss": 0.4931,
+      "step": 70
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 0.5173934698104858,
+      "eval_runtime": 3.7578,
+      "eval_samples_per_second": 245.089,
+      "eval_steps_per_second": 1.064,
+      "step": 70
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "grad_norm": 0.7326230444692339,
+      "learning_rate": 5e-06,
+      "loss": 0.461,
+      "step": 80
+    },
+    {
+      "epoch": 2.571428571428571,
+      "grad_norm": 0.47640025795431173,
+      "learning_rate": 5e-06,
+      "loss": 0.4542,
+      "step": 90
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 0.5653219375676357,
+      "learning_rate": 5e-06,
+      "loss": 0.4527,
+      "step": 100
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 0.5122517347335815,
+      "eval_runtime": 3.6345,
+      "eval_samples_per_second": 253.402,
+      "eval_steps_per_second": 1.101,
+      "step": 105
+    },
+    {
+      "epoch": 3.0,
+      "step": 105,
+      "total_flos": 175878910771200.0,
+      "train_loss": 0.5216304597400484,
+      "train_runtime": 1018.6655,
+      "train_samples_per_second": 51.529,
+      "train_steps_per_second": 0.103
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 105,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 175878910771200.0,
+  "train_batch_size": 16,
+  "trial_name": null,
+  "trial_params": null
+}