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_v3-1_only_gpt4_llm
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # oh_v3-1_only_gpt4_llm
 
-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_v3-1_only_gpt4_llm dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9744
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.742857142857143,
+    "eval_loss": 0.974350094795227,
+    "eval_runtime": 3.1016,
+    "eval_samples_per_second": 37.077,
+    "eval_steps_per_second": 0.645,
+    "total_flos": 19891067289600.0,
+    "train_loss": 1.1598685383796692,
+    "train_runtime": 630.3631,
+    "train_samples_per_second": 10.38,
+    "train_steps_per_second": 0.019
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.742857142857143,
+    "eval_loss": 0.974350094795227,
+    "eval_runtime": 3.1016,
+    "eval_samples_per_second": 37.077,
+    "eval_steps_per_second": 0.645
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.742857142857143,
+    "total_flos": 19891067289600.0,
+    "train_loss": 1.1598685383796692,
+    "train_runtime": 630.3631,
+    "train_samples_per_second": 10.38,
+    "train_steps_per_second": 0.019
+}

trainer_state.json

@@ -0,0 +1,73 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.742857142857143,
+  "eval_steps": 500,
+  "global_step": 12,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.9142857142857143,
+      "eval_loss": 1.0328664779663086,
+      "eval_runtime": 3.7236,
+      "eval_samples_per_second": 30.884,
+      "eval_steps_per_second": 0.537,
+      "step": 4
+    },
+    {
+      "epoch": 1.8285714285714287,
+      "eval_loss": 0.9912787079811096,
+      "eval_runtime": 3.7287,
+      "eval_samples_per_second": 30.842,
+      "eval_steps_per_second": 0.536,
+      "step": 8
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "grad_norm": 4.032851257413885,
+      "learning_rate": 5e-06,
+      "loss": 1.1915,
+      "step": 10
+    },
+    {
+      "epoch": 2.742857142857143,
+      "eval_loss": 0.974350094795227,
+      "eval_runtime": 3.1997,
+      "eval_samples_per_second": 35.941,
+      "eval_steps_per_second": 0.625,
+      "step": 12
+    },
+    {
+      "epoch": 2.742857142857143,
+      "step": 12,
+      "total_flos": 19891067289600.0,
+      "train_loss": 1.1598685383796692,
+      "train_runtime": 630.3631,
+      "train_samples_per_second": 10.38,
+      "train_steps_per_second": 0.019
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 12,
+  "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": 19891067289600.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}