End of training

README.md

@@ -4,6 +4,7 @@ license: llama3.1
 base_model: meta-llama/Llama-3.1-8B
 tags:
 - llama-factory
+- full
 - generated_from_trainer
 model-index:
 - name: alpaca-inst-gen-4o-resp-gen-gpt4o-mini_shareGPT_format
@@ -15,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # alpaca-inst-gen-4o-resp-gen-gpt4o-mini_shareGPT_format
 
-This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the mlfoundations-dev/alpaca-inst-gen-4o-resp-gen-gpt4o-mini_shareGPT_format dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.1614
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.6666666666666665,
+    "eval_loss": 1.1614313125610352,
+    "eval_runtime": 2.1851,
+    "eval_samples_per_second": 26.543,
+    "eval_steps_per_second": 0.458,
+    "total_flos": 1.7361783597563904e+16,
+    "train_loss": 1.2026246388753254,
+    "train_runtime": 2846.6656,
+    "train_samples_per_second": 1.151,
+    "train_steps_per_second": 0.002
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.6666666666666665,
+    "eval_loss": 1.1614313125610352,
+    "eval_runtime": 2.1851,
+    "eval_samples_per_second": 26.543,
+    "eval_steps_per_second": 0.458
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.6666666666666665,
+    "total_flos": 1.7361783597563904e+16,
+    "train_loss": 1.2026246388753254,
+    "train_runtime": 2846.6656,
+    "train_samples_per_second": 1.151,
+    "train_steps_per_second": 0.002
+}

trainer_state.json

@@ -0,0 +1,66 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.6666666666666665,
+  "eval_steps": 500,
+  "global_step": 6,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.8888888888888888,
+      "eval_loss": 1.2404001951217651,
+      "eval_runtime": 2.5102,
+      "eval_samples_per_second": 23.106,
+      "eval_steps_per_second": 0.398,
+      "step": 2
+    },
+    {
+      "epoch": 1.7777777777777777,
+      "eval_loss": 1.2076923847198486,
+      "eval_runtime": 2.4258,
+      "eval_samples_per_second": 23.91,
+      "eval_steps_per_second": 0.412,
+      "step": 4
+    },
+    {
+      "epoch": 2.6666666666666665,
+      "eval_loss": 1.1614313125610352,
+      "eval_runtime": 2.1248,
+      "eval_samples_per_second": 27.296,
+      "eval_steps_per_second": 0.471,
+      "step": 6
+    },
+    {
+      "epoch": 2.6666666666666665,
+      "step": 6,
+      "total_flos": 1.7361783597563904e+16,
+      "train_loss": 1.2026246388753254,
+      "train_runtime": 2846.6656,
+      "train_samples_per_second": 1.151,
+      "train_steps_per_second": 0.002
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 6,
+  "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": 1.7361783597563904e+16,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}