End of training

README.md

@@ -4,6 +4,7 @@ license: apache-2.0
 base_model: Qwen/Qwen2.5-1.5B-Instruct
 tags:
 - llama-factory
+- lora
 - generated_from_trainer
 model-index:
 - name: lora-adapter
@@ -15,7 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # lora-adapter
 
-This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on an unknown dataset.
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the customer_support dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0311
 
 ## Model description
 

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 2.888888888888889,
+    "eval_loss": 0.03107677958905697,
+    "eval_runtime": 10.7679,
+    "eval_samples_per_second": 0.929,
+    "eval_steps_per_second": 0.929,
+    "total_flos": 1384538209542144.0,
+    "train_loss": 0.05243030935525894,
+    "train_runtime": 827.7821,
+    "train_samples_per_second": 0.326,
+    "train_steps_per_second": 0.08
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 2.888888888888889,
+    "eval_loss": 0.03107677958905697,
+    "eval_runtime": 10.7679,
+    "eval_samples_per_second": 0.929,
+    "eval_steps_per_second": 0.929
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 2.888888888888889,
+    "total_flos": 1384538209542144.0,
+    "train_loss": 0.05243030935525894,
+    "train_runtime": 827.7821,
+    "train_samples_per_second": 0.326,
+    "train_steps_per_second": 0.08
+}

trainer_state.json

@@ -0,0 +1,84 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.888888888888889,
+  "eval_steps": 500,
+  "global_step": 66,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "grad_norm": 0.2242259383201599,
+      "learning_rate": 9.936341773606723e-05,
+      "loss": 0.1132,
+      "step": 10
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+      "grad_norm": 0.3236077129840851,
+      "learning_rate": 8.849169917149531e-05,
+      "loss": 0.0618,
+      "step": 20
+    },
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+      "grad_norm": 0.23153884708881378,
+      "learning_rate": 6.696194330590151e-05,
+      "loss": 0.0419,
+      "step": 30
+    },
+    {
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+      "grad_norm": 0.32238835096359253,
+      "learning_rate": 4.0735563795644294e-05,
+      "loss": 0.0431,
+      "step": 40
+    },
+    {
+      "epoch": 2.1777777777777776,
+      "grad_norm": 0.13999998569488525,
+      "learning_rate": 1.7074431046748075e-05,
+      "loss": 0.0336,
+      "step": 50
+    },
+    {
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+      "grad_norm": 0.13561949133872986,
+      "learning_rate": 2.530119576580936e-06,
+      "loss": 0.033,
+      "step": 60
+    },
+    {
+      "epoch": 2.888888888888889,
+      "step": 66,
+      "total_flos": 1384538209542144.0,
+      "train_loss": 0.05243030935525894,
+      "train_runtime": 827.7821,
+      "train_samples_per_second": 0.326,
+      "train_steps_per_second": 0.08
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 66,
+  "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": 1384538209542144.0,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}