Final training metrics
Browse files- training_metrics.json +78 -0
training_metrics.json
ADDED
|
@@ -0,0 +1,78 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"metrics_history": [
|
| 3 |
+
{
|
| 4 |
+
"epoch": 0.3252032520325203,
|
| 5 |
+
"global_step": 2000,
|
| 6 |
+
"eval_loss": 1.1127451658248901,
|
| 7 |
+
"eval_cosine_accuracy": 0.9593281149864197
|
| 8 |
+
},
|
| 9 |
+
{
|
| 10 |
+
"epoch": 0.6504065040650406,
|
| 11 |
+
"global_step": 4000,
|
| 12 |
+
"eval_loss": 1.0243772268295288,
|
| 13 |
+
"eval_cosine_accuracy": 0.9611240029335022
|
| 14 |
+
},
|
| 15 |
+
{
|
| 16 |
+
"epoch": 0.975609756097561,
|
| 17 |
+
"global_step": 6000,
|
| 18 |
+
"eval_loss": 1.2680829763412476,
|
| 19 |
+
"eval_cosine_accuracy": 0.9347137212753296
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 1.3004222150048717,
|
| 23 |
+
"global_step": 8000,
|
| 24 |
+
"eval_loss": 0.9284058809280396,
|
| 25 |
+
"eval_cosine_accuracy": 0.9691527485847473
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"epoch": 1.6252029879831114,
|
| 29 |
+
"global_step": 10000,
|
| 30 |
+
"eval_loss": 0.9048501253128052,
|
| 31 |
+
"eval_cosine_accuracy": 0.9725332856178284
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 1.949983760961351,
|
| 35 |
+
"global_step": 12000,
|
| 36 |
+
"eval_loss": 0.8864583373069763,
|
| 37 |
+
"eval_cosine_accuracy": 0.9724276065826416
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 2.2747645339395905,
|
| 41 |
+
"global_step": 14000,
|
| 42 |
+
"eval_loss": 0.8774275183677673,
|
| 43 |
+
"eval_cosine_accuracy": 0.9729558229446411
|
| 44 |
+
},
|
| 45 |
+
{
|
| 46 |
+
"epoch": 2.5995453069178307,
|
| 47 |
+
"global_step": 16000,
|
| 48 |
+
"eval_loss": 0.8737779855728149,
|
| 49 |
+
"eval_cosine_accuracy": 0.9735897183418274
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"epoch": 2.92432607989607,
|
| 53 |
+
"global_step": 18000,
|
| 54 |
+
"eval_loss": 0.8774468898773193,
|
| 55 |
+
"eval_cosine_accuracy": 0.9736953377723694
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 3.2491068528743097,
|
| 59 |
+
"global_step": 20000,
|
| 60 |
+
"eval_loss": 0.8695548176765442,
|
| 61 |
+
"eval_cosine_accuracy": 0.9745404720306396
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 3.5738876258525494,
|
| 65 |
+
"global_step": 22000,
|
| 66 |
+
"eval_loss": 0.8679282069206238,
|
| 67 |
+
"eval_cosine_accuracy": 0.9743291735649109
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"epoch": 3.898668398830789,
|
| 71 |
+
"global_step": 24000,
|
| 72 |
+
"eval_loss": 0.8661763072013855,
|
| 73 |
+
"eval_cosine_accuracy": 0.9745404720306396
|
| 74 |
+
}
|
| 75 |
+
],
|
| 76 |
+
"total_epochs": 3.996102630724261,
|
| 77 |
+
"total_steps": 24600
|
| 78 |
+
}
|