End of training

README.md

@@ -14,10 +14,10 @@ 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/04oc07hx)
 # bigbird-roberta-base-fineweb-edu-llama3-annotations-4096-vN
 
-This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on an unknown dataset.
+This model is a fine-tuned version of [google/bigbird-roberta-base](https://huggingface.co/google/bigbird-roberta-base) on the HuggingFaceFW/fineweb-edu-llama3-annotations dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2178
-- Mse: 0.2178
+- Loss: 0.2176
+- Mse: 0.2176
 
 ## Model description
 

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 0.999954960229883,
+    "eval_loss": 0.2176452875137329,
+    "eval_mse": 0.21764529895741724,
+    "eval_runtime": 64.1346,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 15.592,
+    "eval_steps_per_second": 3.898,
+    "total_flos": 9.410742865058857e+17,
+    "train_loss": 0.2716184546260883,
+    "train_runtime": 39469.9974,
+    "train_samples": 444052,
+    "train_samples_per_second": 11.25,
+    "train_steps_per_second": 0.088
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.999954960229883,
+    "eval_loss": 0.2176452875137329,
+    "eval_mse": 0.21764529895741724,
+    "eval_runtime": 64.1346,
+    "eval_samples": 1000,
+    "eval_samples_per_second": 15.592,
+    "eval_steps_per_second": 3.898
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.999954960229883,
+    "total_flos": 9.410742865058857e+17,
+    "train_loss": 0.2716184546260883,
+    "train_runtime": 39469.9974,
+    "train_samples": 444052,
+    "train_samples_per_second": 11.25,
+    "train_steps_per_second": 0.088
+}