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 QNLI
       type: glue
       config: qnli
       split: validation
@@ -21,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5978400146439685
+      value: 0.6135822807980963
 ---
 
 <!-- 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_sa_GLUE_Experiment_qnli_128
 
-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 QNLI dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6982
-- Accuracy: 0.5978
+- Loss: 0.6494
+- Accuracy: 0.6136
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
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+    "eval_loss": 0.6494115591049194,
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+    "eval_steps_per_second": 3.56,
+    "train_loss": 0.614554194449214,
+    "train_runtime": 4192.3502,
+    "train_samples": 104743,
+    "train_samples_per_second": 1249.216,
+    "train_steps_per_second": 9.768
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.6135822807980963,
+    "eval_loss": 0.6494115591049194,
+    "eval_runtime": 12.0781,
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+    "eval_samples_per_second": 452.307,
+    "eval_steps_per_second": 3.56
+}

logs/events.out.tfevents.1674651741.garda.227848.8

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+oid sha256:48910bd436a0efc71890ea8d5bb08effb4096631c00b08c5a7e4ce37b9a7b2e4
+size 363

train_results.json

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+{
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+    "train_loss": 0.614554194449214,
+    "train_runtime": 4192.3502,
+    "train_samples": 104743,
+    "train_samples_per_second": 1249.216,
+    "train_steps_per_second": 9.768
+}

trainer_state.json

@@ -0,0 +1,115 @@
+{
+  "best_metric": 0.6494115591049194,
+  "best_model_checkpoint": "mobilebert_sa_GLUE_Experiment_qnli_128/checkpoint-819",
+  "epoch": 6.0,
+  "global_step": 4914,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+  "trial_name": null,
+  "trial_params": null
+}