End of training

README.md

@@ -1,13 +1,28 @@
 ---
+language:
+- en
 license: apache-2.0
 base_model: google/fnet-base
 tags:
 - generated_from_trainer
+datasets:
+- glue
 metrics:
 - matthews_correlation
 model-index:
 - name: fnet-base-finetuned-cola
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE COLA
+      type: glue
+      args: cola
+    metrics:
+    - name: Matthews Correlation
+      type: matthews_correlation
+      value: 0.3262988329908328
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fnet-base-finetuned-cola
 
-This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on an unknown dataset.
+This model is a fine-tuned version of [google/fnet-base](https://huggingface.co/google/fnet-base) on the GLUE COLA dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5648
 - Matthews Correlation: 0.3263

all_results.json

@@ -0,0 +1,15 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.5648320913314819,
+    "eval_matthews_correlation": 0.3262988329908328,
+    "eval_runtime": 8.5449,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 122.062,
+    "eval_steps_per_second": 7.724,
+    "total_flos": 4562104380880896.0,
+    "train_loss": 0.5235365682573461,
+    "train_runtime": 487.6856,
+    "train_samples": 8551,
+    "train_samples_per_second": 52.602,
+    "train_steps_per_second": 1.649
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_loss": 0.5648320913314819,
+    "eval_matthews_correlation": 0.3262988329908328,
+    "eval_runtime": 8.5449,
+    "eval_samples": 1043,
+    "eval_samples_per_second": 122.062,
+    "eval_steps_per_second": 7.724
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "total_flos": 4562104380880896.0,
+    "train_loss": 0.5235365682573461,
+    "train_runtime": 487.6856,
+    "train_samples": 8551,
+    "train_samples_per_second": 52.602,
+    "train_steps_per_second": 1.649
+}

trainer_state.json

@@ -0,0 +1,90 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 804,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 1.0,
+      "grad_norm": 6.508703708648682,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 0.6101,
+      "step": 268
+    },
+    {
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+      "eval_loss": 0.6032158732414246,
+      "eval_matthews_correlation": 0.1345503796973939,
+      "eval_runtime": 8.5318,
+      "eval_samples_per_second": 122.249,
+      "eval_steps_per_second": 7.736,
+      "step": 268
+    },
+    {
+      "epoch": 2.0,
+      "grad_norm": 11.809653282165527,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 0.5325,
+      "step": 536
+    },
+    {
+      "epoch": 2.0,
+      "eval_loss": 0.5451133251190186,
+      "eval_matthews_correlation": 0.3134805838230471,
+      "eval_runtime": 8.5009,
+      "eval_samples_per_second": 122.693,
+      "eval_steps_per_second": 7.764,
+      "step": 536
+    },
+    {
+      "epoch": 3.0,
+      "grad_norm": 9.861120223999023,
+      "learning_rate": 0.0,
+      "loss": 0.428,
+      "step": 804
+    },
+    {
+      "epoch": 3.0,
+      "eval_loss": 0.5648320913314819,
+      "eval_matthews_correlation": 0.3262988329908328,
+      "eval_runtime": 8.5202,
+      "eval_samples_per_second": 122.414,
+      "eval_steps_per_second": 7.746,
+      "step": 804
+    },
+    {
+      "epoch": 3.0,
+      "step": 804,
+      "total_flos": 4562104380880896.0,
+      "train_loss": 0.5235365682573461,
+      "train_runtime": 487.6856,
+      "train_samples_per_second": 52.602,
+      "train_steps_per_second": 1.649
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 804,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4562104380880896.0,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}