End of training

README.md

@@ -1,11 +1,28 @@
 ---
+language:
+- en
 license: apache-2.0
 base_model: google/switch-base-8
 tags:
 - generated_from_trainer
+datasets:
+- glue
+metrics:
+- accuracy
 model-index:
 - name: sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: GLUE SST2
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9461009174311926
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -13,7 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # sst2
 
-This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co/google/switch-base-8) on an unknown dataset.
+This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co/google/switch-base-8) on the GLUE SST2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1893
+- Accuracy: 0.9461
 
 ## Model description
 

all_results.json

@@ -0,0 +1,14 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9461009174311926,
+    "eval_loss": 0.1892605870962143,
+    "eval_runtime": 6.4622,
+    "eval_samples": 872,
+    "eval_samples_per_second": 134.938,
+    "eval_steps_per_second": 16.867,
+    "train_loss": 0.24820531837243603,
+    "train_runtime": 1181.836,
+    "train_samples": 67349,
+    "train_samples_per_second": 170.96,
+    "train_steps_per_second": 2.673
+}

eval_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 3.0,
+    "eval_accuracy": 0.9461009174311926,
+    "eval_loss": 0.1892605870962143,
+    "eval_runtime": 6.4622,
+    "eval_samples": 872,
+    "eval_samples_per_second": 134.938,
+    "eval_steps_per_second": 16.867
+}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.0,
+    "train_loss": 0.24820531837243603,
+    "train_runtime": 1181.836,
+    "train_samples": 67349,
+    "train_samples_per_second": 170.96,
+    "train_steps_per_second": 2.673
+}

trainer_state.json

@@ -0,0 +1,66 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 3159,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.47,
+      "learning_rate": 1.6834441278885725e-05,
+      "loss": 0.4901,
+      "step": 500
+    },
+    {
+      "epoch": 0.95,
+      "learning_rate": 1.3668882557771448e-05,
+      "loss": 0.2541,
+      "step": 1000
+    },
+    {
+      "epoch": 1.42,
+      "learning_rate": 1.0503323836657171e-05,
+      "loss": 0.2147,
+      "step": 1500
+    },
+    {
+      "epoch": 1.9,
+      "learning_rate": 7.337765115542894e-06,
+      "loss": 0.1957,
+      "step": 2000
+    },
+    {
+      "epoch": 2.37,
+      "learning_rate": 4.172206394428617e-06,
+      "loss": 0.1818,
+      "step": 2500
+    },
+    {
+      "epoch": 2.85,
+      "learning_rate": 1.00664767331434e-06,
+      "loss": 0.1774,
+      "step": 3000
+    },
+    {
+      "epoch": 3.0,
+      "step": 3159,
+      "total_flos": 9.236713141793434e+16,
+      "train_loss": 0.24820531837243603,
+      "train_runtime": 1181.836,
+      "train_samples_per_second": 170.96,
+      "train_steps_per_second": 2.673
+    }
+  ],
+  "logging_steps": 500,
+  "max_steps": 3159,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 500,
+  "total_flos": 9.236713141793434e+16,
+  "train_batch_size": 64,
+  "trial_name": null,
+  "trial_params": null
+}