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_mlfoundations-dev-stackexchange_poker
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # llama3-1_8b_mlfoundations-dev-stackexchange_poker
 
-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/stackexchange_poker dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1535
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.2857142857142856,
+    "eval_loss": 1.153542399406433,
+    "eval_runtime": 12.2762,
+    "eval_samples_per_second": 8.553,
+    "eval_steps_per_second": 0.326,
+    "total_flos": 14970645381120.0,
+    "train_loss": 1.2536535263061523,
+    "train_runtime": 1609.5914,
+    "train_samples_per_second": 3.711,
+    "train_steps_per_second": 0.006
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.2857142857142856,
+    "eval_loss": 1.153542399406433,
+    "eval_runtime": 12.2762,
+    "eval_samples_per_second": 8.553,
+    "eval_steps_per_second": 0.326
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.2857142857142856,
+    "total_flos": 14970645381120.0,
+    "train_loss": 1.2536535263061523,
+    "train_runtime": 1609.5914,
+    "train_samples_per_second": 3.711,
+    "train_steps_per_second": 0.006
+}

trainer_state.json

@@ -0,0 +1,66 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.2857142857142856,
+  "eval_steps": 500,
+  "global_step": 9,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.7619047619047619,
+      "eval_loss": 1.2543432712554932,
+      "eval_runtime": 12.2168,
+      "eval_samples_per_second": 8.595,
+      "eval_steps_per_second": 0.327,
+      "step": 3
+    },
+    {
+      "epoch": 1.7777777777777777,
+      "eval_loss": 1.1833806037902832,
+      "eval_runtime": 12.3175,
+      "eval_samples_per_second": 8.524,
+      "eval_steps_per_second": 0.325,
+      "step": 7
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "eval_loss": 1.153542399406433,
+      "eval_runtime": 12.9628,
+      "eval_samples_per_second": 8.1,
+      "eval_steps_per_second": 0.309,
+      "step": 9
+    },
+    {
+      "epoch": 2.2857142857142856,
+      "step": 9,
+      "total_flos": 14970645381120.0,
+      "train_loss": 1.2536535263061523,
+      "train_runtime": 1609.5914,
+      "train_samples_per_second": 3.711,
+      "train_steps_per_second": 0.006
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 9,
+  "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": 14970645381120.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}