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 SST2
       type: glue
       config: sst2
       split: validation
@@ -29,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # mobilebert_add_GLUE_Experiment_logit_kd_pretrain_sst2
 
-This model is a fine-tuned version of [gokuls/mobilebert_add_pre-training-complete](https://huggingface.co/gokuls/mobilebert_add_pre-training-complete) on the glue dataset.
+This model is a fine-tuned version of [gokuls/mobilebert_add_pre-training-complete](https://huggingface.co/gokuls/mobilebert_add_pre-training-complete) on the GLUE SST2 dataset.
 It achieves the following results on the evaluation set:
 - Loss: nan
 - Accuracy: 0.4908

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.4908256880733945,
+    "eval_loss": NaN,
+    "eval_runtime": 1.5282,
+    "eval_samples": 872,
+    "eval_samples_per_second": 570.604,
+    "eval_steps_per_second": 4.581,
+    "train_loss": 0.0,
+    "train_runtime": 1714.5809,
+    "train_samples": 67349,
+    "train_samples_per_second": 1964.008,
+    "train_steps_per_second": 15.368
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 6.0,
+    "eval_accuracy": 0.4908256880733945,
+    "eval_loss": NaN,
+    "eval_runtime": 1.5282,
+    "eval_samples": 872,
+    "eval_samples_per_second": 570.604,
+    "eval_steps_per_second": 4.581
+}

logs/events.out.tfevents.1675047553.serv-3331.1557471.17

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+version https://git-lfs.github.com/spec/v1
+oid sha256:f4e4612ba6a94e286fb24688eb0ac4d6bff1f3fb6e3460dd4c525d2d7beb661c
+size 363

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 6.0,
+    "train_loss": 0.0,
+    "train_runtime": 1714.5809,
+    "train_samples": 67349,
+    "train_samples_per_second": 1964.008,
+    "train_steps_per_second": 15.368
+}

trainer_state.json

@@ -0,0 +1,115 @@
+{
+  "best_metric": NaN,
+  "best_model_checkpoint": "mobilebert_add_GLUE_Experiment_logit_kd_pretrain_sst2/checkpoint-527",
+  "epoch": 6.0,
+  "global_step": 3162,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+      "learning_rate": 4.9e-05,
+      "loss": 0.0,
+      "step": 527
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+      "eval_accuracy": 0.4908256880733945,
+      "eval_loss": NaN,
+      "eval_runtime": 1.5233,
+      "eval_samples_per_second": 572.445,
+      "eval_steps_per_second": 4.595,
+      "step": 527
+    },
+    {
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+      "learning_rate": 4.8e-05,
+      "loss": 0.0,
+      "step": 1054
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+      "eval_runtime": 1.5073,
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+    {
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+      "step": 1581
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+      "eval_runtime": 1.5082,
+      "eval_samples_per_second": 578.154,
+      "eval_steps_per_second": 4.641,
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+    {
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+      "learning_rate": 4.600000000000001e-05,
+      "loss": 0.0,
+      "step": 2108
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+      "eval_runtime": 1.5023,
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+      "eval_steps_per_second": 4.66,
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+    {
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+      "total_flos": 1.2116275614449664e+16,
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+  "max_steps": 26350,
+  "num_train_epochs": 50,
+  "total_flos": 1.2116275614449664e+16,
+  "trial_name": null,
+  "trial_params": null
+}