End of training

README.md

@@ -3,11 +3,15 @@ library_name: transformers
 license: other
 base_model: nvidia/Minitron-4B-Base
 tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
 - trl
 - sft
 - generated_from_trainer
 datasets:
-- generator
+- allenai/tulu-v2-sft-mixture
 model-index:
 - name: minitron-4b-tulu-v2-mix
   results: []
@@ -18,7 +22,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # minitron-4b-tulu-v2-mix
 
-This model is a fine-tuned version of [nvidia/Minitron-4B-Base](https://huggingface.co/nvidia/Minitron-4B-Base) on the generator dataset.
+This model is a fine-tuned version of [nvidia/Minitron-4B-Base](https://huggingface.co/nvidia/Minitron-4B-Base) on the allenai/tulu-v2-sft-mixture dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1978
 
 ## Model description
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 0.008827099194527198,
+    "eval_loss": 1.1978037357330322,
+    "eval_runtime": 365.9654,
+    "eval_samples": 25000,
+    "eval_samples_per_second": 15.204,
+    "eval_steps_per_second": 3.801,
     "total_flos": 6242130984960.0,
     "train_loss": 1.322617530822754,
     "train_runtime": 636.4506,

config.json

@@ -25,6 +25,6 @@
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.44.2",
-  "use_cache": false,
+  "use_cache": true,
   "vocab_size": 256000
 }

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 0.008827099194527198,
+    "eval_loss": 1.1978037357330322,
+    "eval_runtime": 365.9654,
+    "eval_samples": 25000,
+    "eval_samples_per_second": 15.204,
+    "eval_steps_per_second": 3.801
+}