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_hermeneutics
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # stackexchange_hermeneutics
 
-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_hermeneutics dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9773
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.976,
+    "eval_loss": 0.9772511720657349,
+    "eval_runtime": 22.307,
+    "eval_samples_per_second": 37.701,
+    "eval_steps_per_second": 0.628,
+    "total_flos": 155569084170240.0,
+    "train_loss": 1.0259817133667648,
+    "train_runtime": 3317.6169,
+    "train_samples_per_second": 14.443,
+    "train_steps_per_second": 0.028
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.976,
+    "eval_loss": 0.9772511720657349,
+    "eval_runtime": 22.307,
+    "eval_samples_per_second": 37.701,
+    "eval_steps_per_second": 0.628
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.976,
+    "total_flos": 155569084170240.0,
+    "train_loss": 1.0259817133667648,
+    "train_runtime": 3317.6169,
+    "train_samples_per_second": 14.443,
+    "train_steps_per_second": 0.028
+}

trainer_state.json

@@ -0,0 +1,129 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.976,
+  "eval_steps": 500,
+  "global_step": 93,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.32,
+      "grad_norm": 14.676734872106179,
+      "learning_rate": 5e-06,
+      "loss": 1.2289,
+      "step": 10
+    },
+    {
+      "epoch": 0.64,
+      "grad_norm": 3.598401054075069,
+      "learning_rate": 5e-06,
+      "loss": 1.1085,
+      "step": 20
+    },
+    {
+      "epoch": 0.96,
+      "grad_norm": 2.323246185800818,
+      "learning_rate": 5e-06,
+      "loss": 1.0621,
+      "step": 30
+    },
+    {
+      "epoch": 0.992,
+      "eval_loss": 1.0408542156219482,
+      "eval_runtime": 23.3229,
+      "eval_samples_per_second": 36.059,
+      "eval_steps_per_second": 0.6,
+      "step": 31
+    },
+    {
+      "epoch": 1.28,
+      "grad_norm": 1.634281663066763,
+      "learning_rate": 5e-06,
+      "loss": 1.0841,
+      "step": 40
+    },
+    {
+      "epoch": 1.6,
+      "grad_norm": 1.5489112716620952,
+      "learning_rate": 5e-06,
+      "loss": 0.9873,
+      "step": 50
+    },
+    {
+      "epoch": 1.92,
+      "grad_norm": 1.6581760731689397,
+      "learning_rate": 5e-06,
+      "loss": 0.9711,
+      "step": 60
+    },
+    {
+      "epoch": 1.984,
+      "eval_loss": 0.9961642026901245,
+      "eval_runtime": 22.996,
+      "eval_samples_per_second": 36.572,
+      "eval_steps_per_second": 0.609,
+      "step": 62
+    },
+    {
+      "epoch": 2.24,
+      "grad_norm": 1.4201489917654573,
+      "learning_rate": 5e-06,
+      "loss": 1.008,
+      "step": 70
+    },
+    {
+      "epoch": 2.56,
+      "grad_norm": 2.2773128474148137,
+      "learning_rate": 5e-06,
+      "loss": 0.9094,
+      "step": 80
+    },
+    {
+      "epoch": 2.88,
+      "grad_norm": 1.2888597776168031,
+      "learning_rate": 5e-06,
+      "loss": 0.9089,
+      "step": 90
+    },
+    {
+      "epoch": 2.976,
+      "eval_loss": 0.9772511720657349,
+      "eval_runtime": 21.6003,
+      "eval_samples_per_second": 38.935,
+      "eval_steps_per_second": 0.648,
+      "step": 93
+    },
+    {
+      "epoch": 2.976,
+      "step": 93,
+      "total_flos": 155569084170240.0,
+      "train_loss": 1.0259817133667648,
+      "train_runtime": 3317.6169,
+      "train_samples_per_second": 14.443,
+      "train_steps_per_second": 0.028
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 93,
+  "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": 155569084170240.0,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}