End of training

README.md

@@ -1,11 +1,23 @@
 ---
 tags:
 - generated_from_trainer
+datasets:
+- Hartunka/processed_book_corpus-rand-5
 metrics:
 - accuracy
 model-index:
 - name: tiny_bert_bc_rand_5_v1
-  results: []
+  results:
+  - task:
+      name: Masked Language Modeling
+      type: fill-mask
+    dataset:
+      name: Hartunka/processed_book_corpus-rand-5
+      type: Hartunka/processed_book_corpus-rand-5
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.6821818171146403
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,10 +25,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # tiny_bert_bc_rand_5_v1
 
-This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on the Hartunka/processed_book_corpus-rand-5 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2519
-- Accuracy: 0.6859
+- Loss: 3.1055
+- Accuracy: 0.6822
 
 ## Model description
 

all_results.json

@@ -0,0 +1,16 @@
+{
+    "epoch": 25.0,
+    "eval_accuracy": 0.6821818171146403,
+    "eval_loss": 3.105498790740967,
+    "eval_runtime": 161.4279,
+    "eval_samples": 120706,
+    "eval_samples_per_second": 747.739,
+    "eval_steps_per_second": 7.793,
+    "perplexity": 22.320349382780236,
+    "total_flos": 3.037727852389325e+18,
+    "train_loss": 3.5820748045259263,
+    "train_runtime": 127167.6489,
+    "train_samples": 2277342,
+    "train_samples_per_second": 447.705,
+    "train_steps_per_second": 4.664
+}

eval_results.json

@@ -0,0 +1,10 @@
+{
+    "epoch": 25.0,
+    "eval_accuracy": 0.6821818171146403,
+    "eval_loss": 3.105498790740967,
+    "eval_runtime": 161.4279,
+    "eval_samples": 120706,
+    "eval_samples_per_second": 747.739,
+    "eval_steps_per_second": 7.793,
+    "perplexity": 22.320349382780236
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 25.0,
+    "total_flos": 3.037727852389325e+18,
+    "train_loss": 3.5820748045259263,
+    "train_runtime": 127167.6489,
+    "train_samples": 2277342,
+    "train_samples_per_second": 447.705,
+    "train_steps_per_second": 4.664
+}