End of training

README.md

@@ -4,6 +4,7 @@ license: apache-2.0
 base_model: AdaptLLM/biomed-Qwen2-VL-2B-Instruct
 tags:
 - llama-factory
+- lora
 - generated_from_trainer
 model-index:
 - name: qwenvl-2B-cadica-stenosis-classify-scale4
@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # qwenvl-2B-cadica-stenosis-classify-scale4
 
-This model is a fine-tuned version of [AdaptLLM/biomed-Qwen2-VL-2B-Instruct](https://huggingface.co/AdaptLLM/biomed-Qwen2-VL-2B-Instruct) on an unknown dataset.
+This model is a fine-tuned version of [AdaptLLM/biomed-Qwen2-VL-2B-Instruct](https://huggingface.co/AdaptLLM/biomed-Qwen2-VL-2B-Instruct) on the CADICA狹窄分析選擇題scale4(TRAIN) dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2225
-- Num Input Tokens Seen: 39760664
+- Loss: 0.1878
+- Num Input Tokens Seen: 39772368
 
 ## Model description
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 1.751995879474633,
+    "eval_loss": 0.18780523538589478,
+    "eval_runtime": 51.2568,
+    "eval_samples_per_second": 1.171,
+    "eval_steps_per_second": 0.293,
+    "num_input_tokens_seen": 39772368,
+    "total_flos": 2624309677719552.0,
+    "train_loss": 9.810503915070576e-05,
+    "train_runtime": 113.2963,
+    "train_samples_per_second": 720.235,
+    "train_steps_per_second": 30.01
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 1.751995879474633,
+    "eval_loss": 0.18780523538589478,
+    "eval_runtime": 51.2568,
+    "eval_samples_per_second": 1.171,
+    "eval_steps_per_second": 0.293,
+    "num_input_tokens_seen": 39772368
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 1.751995879474633,
+    "num_input_tokens_seen": 39772368,
+    "total_flos": 2624309677719552.0,
+    "train_loss": 9.810503915070576e-05,
+    "train_runtime": 113.2963,
+    "train_samples_per_second": 720.235,
+    "train_steps_per_second": 30.01
+}