Model save

README.md

@@ -40,7 +40,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 12
 
 ### Training results
 

all_results.json

@@ -0,0 +1,13 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.5692307692307692,
+    "eval_loss": 0.9518502950668335,
+    "eval_runtime": 1.1258,
+    "eval_samples_per_second": 57.736,
+    "eval_steps_per_second": 7.994,
+    "total_flos": 3.525948730257408e+16,
+    "train_loss": 1.0869516039651537,
+    "train_runtime": 29.3964,
+    "train_samples_per_second": 15.478,
+    "train_steps_per_second": 2.143
+}

eval_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 7.0,
+    "eval_accuracy": 0.5692307692307692,
+    "eval_loss": 0.9518502950668335,
+    "eval_runtime": 1.1258,
+    "eval_samples_per_second": 57.736,
+    "eval_steps_per_second": 7.994
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
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train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 7.0,
+    "total_flos": 3.525948730257408e+16,
+    "train_loss": 1.0869516039651537,
+    "train_runtime": 29.3964,
+    "train_samples_per_second": 15.478,
+    "train_steps_per_second": 2.143
+}

training_args.bin

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 size 4091