End of training

all_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 0.0,
-    "eval_f1": 0.12404601272248332,
-    "eval_loss": 2.272378921508789,
-    "eval_runtime": 11.9143,
-    "eval_samples_per_second": 21.487,
-    "eval_steps_per_second": 5.372
+    "eval_f1": 0.09656863594654794,
+    "eval_loss": 2.305204153060913,
+    "eval_runtime": 12.8931,
+    "eval_samples_per_second": 19.856,
+    "eval_steps_per_second": 4.964
 }

emissions.csv

@@ -0,0 +1,2 @@
+timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud
+2022-06-14T11:37:36,codecarbon,745672fc-feb1-4fd4-a13b-1aa45ed1a5d5,18.20696783065796,5.1249408353633355e-05,0.0028148239086431843,42.5,0.0,6.0,0.00021488883329762352,0,3.0323646863301592e-05,0.00024521248016092515,United Kingdom,GBR,england,,,macOS-10.16-x86_64-i386-64bit,3.8.13,8,Intel(R) Core(TM) i7-1068NG7 CPU @ 2.30GHz,,,-0.0459,51.518,16.0,machine,N

eval_results.json

@@ -1,8 +1,8 @@
 {
     "epoch": 0.0,
-    "eval_f1": 0.12404601272248332,
-    "eval_loss": 2.272378921508789,
-    "eval_runtime": 11.9143,
-    "eval_samples_per_second": 21.487,
-    "eval_steps_per_second": 5.372
+    "eval_f1": 0.09656863594654794,
+    "eval_loss": 2.305204153060913,
+    "eval_runtime": 12.8931,
+    "eval_samples_per_second": 19.856,
+    "eval_steps_per_second": 4.964
 }