End of training

README.md

@@ -13,10 +13,10 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pszemraj/eduscore-regression/runs/k2lc9nx3)
 # mpnet-base-fineweb-edu-llama3-annotations-512-vN
 
-This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on an unknown dataset.
+This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on the HuggingFaceFW/fineweb-edu-llama3-annotations dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2101
-- Mse: 0.2101
+- Loss: 0.2105
+- Mse: 0.2105
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 0.9999459527627146,
+    "eval_loss": 0.2105061411857605,
+    "eval_mse": 0.21050613161735238,
+    "eval_runtime": 6.5728,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 152.141,
+    "eval_steps_per_second": 19.018,
+    "total_flos": 1.1682867916662374e+17,
+    "train_loss": 0.2771636627187094,
+    "train_runtime": 4603.777,
+    "train_samples": 444052,
+    "train_samples_per_second": 96.454,
+    "train_steps_per_second": 0.754
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9999459527627146,
+    "eval_loss": 0.2105061411857605,
+    "eval_mse": 0.21050613161735238,
+    "eval_runtime": 6.5728,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 152.141,
+    "eval_steps_per_second": 19.018
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9999459527627146,
+    "total_flos": 1.1682867916662374e+17,
+    "train_loss": 0.2771636627187094,
+    "train_runtime": 4603.777,
+    "train_samples": 444052,
+    "train_samples_per_second": 96.454,
+    "train_steps_per_second": 0.754
+}