End of training

README.md

@@ -3,11 +3,23 @@ license: llama2
 base_model: meta-llama/Llama-2-7b-hf
 tags:
 - generated_from_trainer
+datasets:
+- tyzhu/lmind_nq_train6000_eval6489_v1_qa
 metrics:
 - accuracy
 model-index:
 - name: lmind_nq_train6000_eval6489_v1_qa_1e-4_lora2
-  results: []
+  results:
+  - task:
+      name: Causal Language Modeling
+      type: text-generation
+    dataset:
+      name: tyzhu/lmind_nq_train6000_eval6489_v1_qa
+      type: tyzhu/lmind_nq_train6000_eval6489_v1_qa
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6010769230769231
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # lmind_nq_train6000_eval6489_v1_qa_1e-4_lora2
 
-This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the tyzhu/lmind_nq_train6000_eval6489_v1_qa dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.6011
 - Loss: 2.0414
+- Accuracy: 0.6011
 
 ## Model description
 

all_results.json

@@ -4,14 +4,14 @@
     "eval_exact_match": 0.0,
     "eval_f1": 0.03626325940212151,
     "eval_loss": 2.04136323928833,
-    "eval_runtime": 4.2173,
+    "eval_runtime": 4.6696,
     "eval_samples": 500,
-    "eval_samples_per_second": 118.559,
-    "eval_steps_per_second": 14.938,
+    "eval_samples_per_second": 107.075,
+    "eval_steps_per_second": 13.491,
     "perplexity": 7.701100488934728,
-    "train_loss": 0.4765058231863746,
-    "train_runtime": 10596.8911,
+    "train_loss": 0.0,
+    "train_runtime": 0.148,
     "train_samples": 6000,
-    "train_samples_per_second": 28.31,
-    "train_steps_per_second": 0.882
+    "train_samples_per_second": 2026618.907,
+    "train_steps_per_second": 63162.956
 }

eval_results.json

@@ -4,9 +4,9 @@
     "eval_exact_match": 0.0,
     "eval_f1": 0.03626325940212151,
     "eval_loss": 2.04136323928833,
-    "eval_runtime": 4.2173,
+    "eval_runtime": 4.6696,
     "eval_samples": 500,
-    "eval_samples_per_second": 118.559,
-    "eval_steps_per_second": 14.938,
+    "eval_samples_per_second": 107.075,
+    "eval_steps_per_second": 13.491,
     "perplexity": 7.701100488934728
 }

train_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 49.87,
-    "train_loss": 0.4765058231863746,
-    "train_runtime": 10596.8911,
+    "train_loss": 0.0,
+    "train_runtime": 0.148,
     "train_samples": 6000,
-    "train_samples_per_second": 28.31,
-    "train_steps_per_second": 0.882
+    "train_samples_per_second": 2026618.907,
+    "train_steps_per_second": 63162.956
 }

trainer_state.json

@@ -1320,10 +1320,10 @@
       "epoch": 49.87,
       "step": 9350,
       "total_flos": 3.489165488087368e+17,
-      "train_loss": 0.4765058231863746,
-      "train_runtime": 10596.8911,
-      "train_samples_per_second": 28.31,
-      "train_steps_per_second": 0.882
+      "train_loss": 0.0,
+      "train_runtime": 0.148,
+      "train_samples_per_second": 2026618.907,
+      "train_steps_per_second": 63162.956
     }
   ],
   "logging_steps": 100,