End of training

README.md

@@ -4,6 +4,7 @@ library_name: peft
 license: llama3.1
 tags:
 - llama-factory
+- lora
 - generated_from_trainer
 model-index:
 - name: Llama-3.1-8B-Instruct-SFT-Half
@@ -15,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Llama-3.1-8B-Instruct-SFT-Half
 
-This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on the bct_non_cot_sft_500 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6828
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.986666666666667,
+    "eval_loss": 0.6828055381774902,
+    "eval_runtime": 1.6339,
+    "eval_samples_per_second": 30.601,
+    "eval_steps_per_second": 15.301,
+    "total_flos": 7565873752571904.0,
+    "train_loss": 0.9732896827516102,
+    "train_runtime": 178.1411,
+    "train_samples_per_second": 7.578,
+    "train_steps_per_second": 0.472
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.986666666666667,
+    "eval_loss": 0.6828055381774902,
+    "eval_runtime": 1.6339,
+    "eval_samples_per_second": 30.601,
+    "eval_steps_per_second": 15.301
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.986666666666667,
+    "total_flos": 7565873752571904.0,
+    "train_loss": 0.9732896827516102,
+    "train_runtime": 178.1411,
+    "train_samples_per_second": 7.578,
+    "train_steps_per_second": 0.472
+}

trainer_state.json

@@ -0,0 +1,98 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.986666666666667,
+  "eval_steps": 500,
+  "global_step": 84,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 4.997807075247147e-06,
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+      "grad_norm": 4.487943172454834,
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+      "loss": 1.3902,
+      "step": 20
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+      "learning_rate": 4.172826515897146e-06,
+      "loss": 1.1637,
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+      "loss": 0.9457,
+      "step": 40
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+    {
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+      "learning_rate": 2.238678841830867e-06,
+      "loss": 0.7794,
+      "step": 50
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+      "step": 60
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+    {
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+      "learning_rate": 4.774575140626317e-07,
+      "loss": 0.6377,
+      "step": 70
+    },
+    {
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+      "grad_norm": 3.1845717430114746,
+      "learning_rate": 5.463099816548578e-08,
+      "loss": 0.625,
+      "step": 80
+    },
+    {
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+      "step": 84,
+      "total_flos": 7565873752571904.0,
+      "train_loss": 0.9732896827516102,
+      "train_runtime": 178.1411,
+      "train_samples_per_second": 7.578,
+      "train_steps_per_second": 0.472
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 84,
+  "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": 7565873752571904.0,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}