End of training

all_results.json

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+{
+    "epoch": 50.0,
+    "eval_cer": 1.0,
+    "eval_loss": 3.4113175868988037,
+    "eval_runtime": 11.9789,
+    "eval_samples": 1647,
+    "eval_samples_per_second": 137.492,
+    "eval_steps_per_second": 2.17,
+    "eval_wer": 1.0,
+    "train_loss": 3.8271221359426324,
+    "train_runtime": 1330.5005,
+    "train_samples": 3478,
+    "train_samples_per_second": 130.703,
+    "train_steps_per_second": 2.067
+}

emissions.csv

@@ -0,0 +1,2 @@
+timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
+2021-11-12T16:50:40,339324f9-e085-4009-a851-fed32f377272,codecarbon,1320.0325992107391,0.18554146917271336,0.5044629395669205,USA,USA,nan,Y,aws,us-east-1

eval_results.json

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+{
+    "epoch": 50.0,
+    "eval_cer": 1.0,
+    "eval_loss": 3.4113175868988037,
+    "eval_runtime": 11.9789,
+    "eval_samples": 1647,
+    "eval_samples_per_second": 137.492,
+    "eval_steps_per_second": 2.17,
+    "eval_wer": 1.0
+}

pytorch_model.bin

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runs/Nov12_16-25-21_ip-172-31-1-149/events.out.tfevents.1636734517.ip-172-31-1-149.131260.0

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+size 437757

runs/Nov12_16-25-21_ip-172-31-1-149/events.out.tfevents.1636735854.ip-172-31-1-149.131260.2

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train_results.json

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+{
+    "epoch": 50.0,
+    "train_loss": 3.8271221359426324,
+    "train_runtime": 1330.5005,
+    "train_samples": 3478,
+    "train_samples_per_second": 130.703,
+    "train_steps_per_second": 2.067
+}