End of training

README.md

@@ -2,12 +2,16 @@
 license: apache-2.0
 base_model: BioMistral/BioMistral-7B
 tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
 - trl
 - sft
 - alignment-handbook
 - generated_from_trainer
 datasets:
-- generator
+- HuggingFaceH4/deita-10k-v0-sft
 model-index:
 - name: biomistral-7b-wo-healthsearch_qa-sft
   results: []
@@ -18,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # biomistral-7b-wo-healthsearch_qa-sft
 
-This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) on the generator dataset.
+This model is a fine-tuned version of [BioMistral/BioMistral-7B](https://huggingface.co/BioMistral/BioMistral-7B) on the HuggingFaceH4/deita-10k-v0-sft dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2861
 

all_results.json

@@ -1,10 +1,10 @@
 {
     "epoch": 2.67,
-    "eval_loss": 1.286088466644287,
-    "eval_runtime": 27.714,
+    "eval_loss": 1.2860867977142334,
+    "eval_runtime": 27.9681,
     "eval_samples": 3843,
-    "eval_samples_per_second": 11.835,
-    "eval_steps_per_second": 0.758,
+    "eval_samples_per_second": 11.728,
+    "eval_steps_per_second": 0.751,
     "train_loss": 1.4867139259974163,
     "train_runtime": 195.2794,
     "train_samples": 1871,

config.json

@@ -21,6 +21,6 @@
   "tie_word_embeddings": false,
   "torch_dtype": "bfloat16",
   "transformers_version": "4.39.0.dev0",
-  "use_cache": false,
+  "use_cache": true,
   "vocab_size": 32000
 }

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 2.67,
-    "eval_loss": 1.286088466644287,
-    "eval_runtime": 27.714,
+    "eval_loss": 1.2860867977142334,
+    "eval_runtime": 27.9681,
     "eval_samples": 3843,
-    "eval_samples_per_second": 11.835,
-    "eval_steps_per_second": 0.758
+    "eval_samples_per_second": 11.728,
+    "eval_steps_per_second": 0.751
 }