End of training

README.md

@@ -3,6 +3,10 @@ library_name: transformers
 license: llama2
 base_model: meta-llama/Llama-2-7b-chat-hf
 tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
 - trl
 - sft
 - generated_from_trainer
@@ -19,6 +23,8 @@ should probably proofread and complete it, then remove this comment. -->
 # llama_2_cot_simplest_code_math_2_3_epoch_full
 
 This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5266
 
 ## Model description
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 2.88,
+    "eval_loss": 0.5265712141990662,
+    "eval_runtime": 0.6974,
+    "eval_samples": 20,
+    "eval_samples_per_second": 4.302,
+    "eval_steps_per_second": 1.434,
     "total_flos": 3716488888320.0,
     "train_loss": 0.6573220292727152,
     "train_runtime": 194.8145,

config.json

@@ -24,6 +24,6 @@
   "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": 2.88,
+    "eval_loss": 0.5265712141990662,
+    "eval_runtime": 0.6974,
+    "eval_samples": 20,
+    "eval_samples_per_second": 4.302,
+    "eval_steps_per_second": 1.434
+}

runs/Jan21_11-49-41_dgx-a100-12/events.out.tfevents.1737457201.dgx-a100-12.2494682.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd8434ed3e4a7539e65dfdc550c59da8fdbcf35f33836c8ec4ebe055f0785aa6
+size 354