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: oh_v1-2_only_alpaca
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # oh_v1-2_only_alpaca
 
-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/oh_v1-2_only_alpaca dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0184
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.871794871794872,
+    "eval_loss": 1.0183525085449219,
+    "eval_runtime": 21.7163,
+    "eval_samples_per_second": 9.072,
+    "eval_steps_per_second": 0.184,
+    "total_flos": 35123437240320.0,
+    "train_loss": 1.2196591127486456,
+    "train_runtime": 6047.8715,
+    "train_samples_per_second": 1.855,
+    "train_steps_per_second": 0.003
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.871794871794872,
+    "eval_loss": 1.0183525085449219,
+    "eval_runtime": 21.7163,
+    "eval_samples_per_second": 9.072,
+    "eval_steps_per_second": 0.184
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.871794871794872,
+    "total_flos": 35123437240320.0,
+    "train_loss": 1.2196591127486456,
+    "train_runtime": 6047.8715,
+    "train_samples_per_second": 1.855,
+    "train_steps_per_second": 0.003
+}

trainer_state.json

@@ -0,0 +1,80 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.871794871794872,
+  "eval_steps": 500,
+  "global_step": 21,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "eval_loss": 1.2024827003479004,
+      "eval_runtime": 23.9779,
+      "eval_samples_per_second": 8.216,
+      "eval_steps_per_second": 0.167,
+      "step": 7
+    },
+    {
+      "epoch": 1.3675213675213675,
+      "grad_norm": 20.20309688101842,
+      "learning_rate": 5e-06,
+      "loss": 1.3815,
+      "step": 10
+    },
+    {
+      "epoch": 1.9145299145299144,
+      "eval_loss": 1.0915584564208984,
+      "eval_runtime": 22.8554,
+      "eval_samples_per_second": 8.619,
+      "eval_steps_per_second": 0.175,
+      "step": 14
+    },
+    {
+      "epoch": 2.735042735042735,
+      "grad_norm": 3.935326563247966,
+      "learning_rate": 5e-06,
+      "loss": 1.077,
+      "step": 20
+    },
+    {
+      "epoch": 2.871794871794872,
+      "eval_loss": 1.0183525085449219,
+      "eval_runtime": 22.6691,
+      "eval_samples_per_second": 8.69,
+      "eval_steps_per_second": 0.176,
+      "step": 21
+    },
+    {
+      "epoch": 2.871794871794872,
+      "step": 21,
+      "total_flos": 35123437240320.0,
+      "train_loss": 1.2196591127486456,
+      "train_runtime": 6047.8715,
+      "train_samples_per_second": 1.855,
+      "train_steps_per_second": 0.003
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 21,
+  "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": 35123437240320.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}