End of training

README.md

@@ -2,9 +2,15 @@
 license: apache-2.0
 base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
 tags:
+- alignment-handbook
 - trl
 - sft
 - generated_from_trainer
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- yihanwang617/vicuna_sub_random_100k
 model-index:
 - name: tinyllama-sft-vicuna-random-100k
   results: []
@@ -15,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tinyllama-sft-vicuna-random-100k
 
-This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the None dataset.
+This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the yihanwang617/vicuna_sub_random_100k dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7457
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 1.0,
+    "eval_loss": 0.7456573247909546,
+    "eval_runtime": 9.3843,
+    "eval_samples": 500,
+    "eval_samples_per_second": 53.28,
+    "eval_steps_per_second": 1.705,
     "train_loss": 0.7605658245216953,
     "train_runtime": 6107.4706,
     "train_samples": 93645,

config.json

@@ -23,6 +23,6 @@
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.39.0.dev0",
-  "use_cache": false,
+  "use_cache": true,
   "vocab_size": 32001
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 1.0,
-    "eval_loss": 0.7502214908599854,
-    "eval_runtime": 9.3791,
+    "eval_loss": 0.7456573247909546,
+    "eval_runtime": 9.3843,
     "eval_samples": 500,
-    "eval_samples_per_second": 53.31,
-    "eval_steps_per_second": 1.706
+    "eval_samples_per_second": 53.28,
+    "eval_steps_per_second": 1.705
 }

runs/May23_11-12-30_nova.cs.ucla.edu/events.out.tfevents.1716494656.nova.cs.ucla.edu.3155979.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3eb2b4e37c41e5eb021a89ab6a636b77680fa97cd4a6b8d3916b7b23287cd52f
+size 359