End of training

README.md

@@ -3,6 +3,10 @@ library_name: transformers
 license: apache-2.0
 base_model: mistralai/Mistral-7B-Instruct-v0.1
 tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
 - trl
 - sft
 - alignment-handbook
@@ -21,7 +25,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the generator dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6199
+- Loss: 0.6130
 
 ## Model description
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.6209731698036194,
-    "eval_runtime": 2.785,
+    "eval_loss": 0.6130054593086243,
+    "eval_runtime": 2.7928,
     "eval_samples": 20,
-    "eval_samples_per_second": 20.826,
-    "eval_steps_per_second": 1.436,
+    "eval_samples_per_second": 20.767,
+    "eval_steps_per_second": 1.432,
     "total_flos": 62342792478720.0,
     "train_loss": 0.6085060262840066,
     "train_runtime": 3395.7329,

config.json

@@ -22,6 +22,6 @@
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.44.2",
-  "use_cache": false,
+  "use_cache": true,
   "vocab_size": 32000
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.6209731698036194,
-    "eval_runtime": 2.785,
+    "eval_loss": 0.6130054593086243,
+    "eval_runtime": 2.7928,
     "eval_samples": 20,
-    "eval_samples_per_second": 20.826,
-    "eval_steps_per_second": 1.436
+    "eval_samples_per_second": 20.767,
+    "eval_steps_per_second": 1.432
 }

runs/Jan15_01-37-59_dgx-a100-12/events.out.tfevents.1736905723.dgx-a100-12.2747584.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d1b054460dc1570d1229373fafed155fd63b6c014bebfe10e40c917118ece69
+size 359