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_opensource
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # stackexchange_opensource
 
-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_opensource dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9941
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.9310344827586206,
+    "eval_loss": 0.9940618276596069,
+    "eval_runtime": 5.8474,
+    "eval_samples_per_second": 33.006,
+    "eval_steps_per_second": 0.684,
+    "total_flos": 34966402498560.0,
+    "train_loss": 1.1650703861599876,
+    "train_runtime": 999.8758,
+    "train_samples_per_second": 10.972,
+    "train_steps_per_second": 0.021
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.9310344827586206,
+    "eval_loss": 0.9940618276596069,
+    "eval_runtime": 5.8474,
+    "eval_samples_per_second": 33.006,
+    "eval_steps_per_second": 0.684
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.9310344827586206,
+    "total_flos": 34966402498560.0,
+    "train_loss": 1.1650703861599876,
+    "train_runtime": 999.8758,
+    "train_samples_per_second": 10.972,
+    "train_steps_per_second": 0.021
+}

trainer_state.json

@@ -0,0 +1,80 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.9310344827586206,
+  "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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+      "epoch": 0.9655172413793104,
+      "eval_loss": 1.096757173538208,
+      "eval_runtime": 6.7816,
+      "eval_samples_per_second": 28.459,
+      "eval_steps_per_second": 0.59,
+      "step": 7
+    },
+    {
+      "epoch": 1.396551724137931,
+      "grad_norm": 2.9408685872324747,
+      "learning_rate": 5e-06,
+      "loss": 1.2507,
+      "step": 10
+    },
+    {
+      "epoch": 1.9482758620689655,
+      "eval_loss": 1.0302181243896484,
+      "eval_runtime": 6.5287,
+      "eval_samples_per_second": 29.562,
+      "eval_steps_per_second": 0.613,
+      "step": 14
+    },
+    {
+      "epoch": 2.793103448275862,
+      "grad_norm": 3.329244747809881,
+      "learning_rate": 5e-06,
+      "loss": 1.0989,
+      "step": 20
+    },
+    {
+      "epoch": 2.9310344827586206,
+      "eval_loss": 0.9940618276596069,
+      "eval_runtime": 5.3751,
+      "eval_samples_per_second": 35.907,
+      "eval_steps_per_second": 0.744,
+      "step": 21
+    },
+    {
+      "epoch": 2.9310344827586206,
+      "step": 21,
+      "total_flos": 34966402498560.0,
+      "train_loss": 1.1650703861599876,
+      "train_runtime": 999.8758,
+      "train_samples_per_second": 10.972,
+      "train_steps_per_second": 0.021
+    }
+  ],
+  "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": 34966402498560.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}