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
 - generated_from_trainer
@@ -18,7 +22,7 @@ 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 None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4805
+- Loss: 0.3983
 
 ## Model description
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 0.9968051118210862,
+    "eval_loss": 0.3983212113380432,
+    "eval_runtime": 218.8252,
+    "eval_samples": 4995,
+    "eval_samples_per_second": 22.826,
+    "eval_steps_per_second": 1.43,
     "total_flos": 15014172622848.0,
     "train_loss": 0.7275312970846127,
     "train_runtime": 1085.7114,

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

@@ -0,0 +1,8 @@
+{
+    "epoch": 0.9968051118210862,
+    "eval_loss": 0.3983212113380432,
+    "eval_runtime": 218.8252,
+    "eval_samples": 4995,
+    "eval_samples_per_second": 22.826,
+    "eval_steps_per_second": 1.43
+}

runs/Mar27_22-04-25_dgx-a100-11/events.out.tfevents.1743112307.dgx-a100-11.3885714.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:318167e440cdf02a874ea59d3cc0d10bbf2d1190dbb4824e1ba69ff723497db2
+size 359