End of training

README.md

@@ -2,11 +2,15 @@
 license: other
 base_model: google/gemma-2b
 tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
 - trl
 - sft
 - generated_from_trainer
 datasets:
-- generator
+- HuggingFaceH4/ultrachat_200k
 model-index:
 - name: gemma-2b-ultrachat-sft
   results: []
@@ -17,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # gemma-2b-ultrachat-sft
 
-This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the generator dataset.
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the HuggingFaceH4/ultrachat_200k dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2072
 

all_results.json

@@ -1,5 +1,10 @@
 {
     "epoch": 3.0,
+    "eval_loss": 1.2072049379348755,
+    "eval_runtime": 241.8509,
+    "eval_samples": 23109,
+    "eval_samples_per_second": 55.906,
+    "eval_steps_per_second": 3.498,
     "train_loss": 0.7671343510089264,
     "train_runtime": 16733.4448,
     "train_samples": 207864,

config.json

@@ -23,6 +23,6 @@
   "rope_theta": 10000.0,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.39.0.dev0",
-  "use_cache": false,
+  "use_cache": true,
   "vocab_size": 256000
 }

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 1.2072049379348755,
+    "eval_runtime": 241.8509,
+    "eval_samples": 23109,
+    "eval_samples_per_second": 55.906,
+    "eval_steps_per_second": 3.498
+}