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_llama_2_code_math_2_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: 0.6202
 
 ## Model description
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 0.9565217391304348,
+    "eval_loss": 0.6202331185340881,
+    "eval_runtime": 0.6812,
+    "eval_samples": 20,
+    "eval_samples_per_second": 4.404,
+    "eval_steps_per_second": 1.468,
     "total_flos": 1099243192320.0,
     "train_loss": 0.9574337872591886,
     "train_runtime": 60.7091,

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": 0.9565217391304348,
+    "eval_loss": 0.6202331185340881,
+    "eval_runtime": 0.6812,
+    "eval_samples": 20,
+    "eval_samples_per_second": 4.404,
+    "eval_steps_per_second": 1.468
+}

runs/Jan19_22-59-18_dgx-a100-14/events.out.tfevents.1737324397.dgx-a100-14.520574.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3c3c21712ab8c67af5ce771f3ea15112604500dc7f8ecaf77a59abd6ef1d6ac
+size 354