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: stackexchange_vegetarianism
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # stackexchange_vegetarianism
 
-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_vegetarianism dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.0397
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.4,
+    "eval_loss": 1.0396862030029297,
+    "eval_runtime": 1.3612,
+    "eval_samples_per_second": 24.243,
+    "eval_steps_per_second": 0.735,
+    "total_flos": 4815732080640.0,
+    "train_loss": 1.6928386688232422,
+    "train_runtime": 391.6301,
+    "train_samples_per_second": 4.765,
+    "train_steps_per_second": 0.008
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.4,
+    "eval_loss": 1.0396862030029297,
+    "eval_runtime": 1.3612,
+    "eval_samples_per_second": 24.243,
+    "eval_steps_per_second": 0.735
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.4,
+    "total_flos": 4815732080640.0,
+    "train_loss": 1.6928386688232422,
+    "train_runtime": 391.6301,
+    "train_samples_per_second": 4.765,
+    "train_steps_per_second": 0.008
+}

trainer_state.json

@@ -0,0 +1,66 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.4,
+  "eval_steps": 500,
+  "global_step": 3,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.8,
+      "eval_loss": 1.1343632936477661,
+      "eval_runtime": 1.6473,
+      "eval_samples_per_second": 20.032,
+      "eval_steps_per_second": 0.607,
+      "step": 1
+    },
+    {
+      "epoch": 1.6,
+      "eval_loss": 1.066542625427246,
+      "eval_runtime": 1.6795,
+      "eval_samples_per_second": 19.649,
+      "eval_steps_per_second": 0.595,
+      "step": 2
+    },
+    {
+      "epoch": 2.4,
+      "eval_loss": 1.0396862030029297,
+      "eval_runtime": 1.6604,
+      "eval_samples_per_second": 19.874,
+      "eval_steps_per_second": 0.602,
+      "step": 3
+    },
+    {
+      "epoch": 2.4,
+      "step": 3,
+      "total_flos": 4815732080640.0,
+      "train_loss": 1.6928386688232422,
+      "train_runtime": 391.6301,
+      "train_samples_per_second": 4.765,
+      "train_steps_per_second": 0.008
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 3,
+  "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": 4815732080640.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}