End of training

README.md

@@ -1,4 +1,6 @@
 ---
+language:
+- en
 license: apache-2.0
 tags:
 - generated_from_trainer
@@ -13,7 +15,7 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: glue
+      name: GLUE RTE
       type: glue
       config: rte
       split: validation
@@ -21,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.51985559566787
+      value: 0.5270758122743683
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mobilebert_add_GLUE_Experiment_rte_256
 
-This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the glue dataset.
+This model is a fine-tuned version of [google/mobilebert-uncased](https://huggingface.co/google/mobilebert-uncased) on the GLUE RTE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6933
-- Accuracy: 0.5199
+- Loss: 0.6929
+- Accuracy: 0.5271
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
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+    "eval_accuracy": 0.5270758122743683,
+    "eval_loss": 0.6928680539131165,
+    "eval_runtime": 0.5432,
+    "eval_samples": 277,
+    "eval_samples_per_second": 509.916,
+    "eval_steps_per_second": 5.523,
+    "train_loss": 0.6931396325429281,
+    "train_runtime": 122.3877,
+    "train_samples": 2490,
+    "train_samples_per_second": 1017.259,
+    "train_steps_per_second": 8.171
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.5270758122743683,
+    "eval_loss": 0.6928680539131165,
+    "eval_runtime": 0.5432,
+    "eval_samples": 277,
+    "eval_samples_per_second": 509.916,
+    "eval_steps_per_second": 5.523
+}

logs/events.out.tfevents.1674760085.gera.2823283.14

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0740c667bc024821a61c4945b10e45202835fdd09ddc07e074c4aae550a3ad17
+size 357

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 6.0,
+    "train_loss": 0.6931396325429281,
+    "train_runtime": 122.3877,
+    "train_samples": 2490,
+    "train_samples_per_second": 1017.259,
+    "train_steps_per_second": 8.171
+}

trainer_state.json

@@ -0,0 +1,115 @@
+{
+  "best_metric": 0.6928680539131165,
+  "best_model_checkpoint": "mobilebert_add_GLUE_Experiment_rte_256/checkpoint-20",
+  "epoch": 6.0,
+  "global_step": 120,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "epoch": 1.0,
+      "learning_rate": 4.9e-05,
+      "loss": 0.6937,
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+    },
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+      "learning_rate": 4.600000000000001e-05,
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+  "max_steps": 1000,
+  "num_train_epochs": 50,
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+  "trial_name": null,
+  "trial_params": null
+}