Training in progress, epoch 3, checkpoint

checkpoint-243/model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ce5dc84ab03b203b715fb948b590e970dd72449fe1b22b4396a0a94301bfd4d0
+oid sha256:53190b17ff35b9ad5c167544ed90396f7280afc5ddb1a6c61af3086822d56282
 size 592318676

checkpoint-243/optimizer.pt

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:bcf2a4e55a2172f280f18f5a9d05ea311e58e5fcc8949faec6569d3d77faffb0
+oid sha256:2f41c3702d7f6a6ba317df61e02a9051a0fb6bacbce78a09c7f9cf6aed36785a
 size 1014645498

checkpoint-243/rng_state.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4510120abb9e19965e0fc90a9342c8b839c7b334c4b005e1a74bbda01d4f51cc
+oid sha256:becd6836611c76f35df7d32580a0d0ecb16ccf6774d717a60f2504beb710244c
 size 14244

checkpoint-243/trainer_state.json

@@ -11,117 +11,117 @@
     {
       "epoch": 1.0,
       "eval_B": {
-        "f1-score": 0.7905866302864938,
-        "precision": 0.7768096514745308,
-        "recall": 0.8048611111111111,
-        "support": 1440.0
+        "f1-score": 0.8331822302810515,
+        "precision": 0.7901977644024075,
+        "recall": 0.8811121764141898,
+        "support": 1043.0
       },
       "eval_I": {
-        "f1-score": 0.9005331227169513,
-        "precision": 0.9637593111099372,
-        "recall": 0.8450919534905267,
-        "support": 21587.0
+        "f1-score": 0.9471294753175105,
+        "precision": 0.9443616777446711,
+        "recall": 0.9499135446685879,
+        "support": 17350.0
       },
       "eval_O": {
-        "f1-score": 0.8288892663043479,
-        "precision": 0.7463108800367001,
-        "recall": 0.9320156593144275,
-        "support": 10473.0
+        "f1-score": 0.8992868897421833,
+        "precision": 0.9103731674811195,
+        "recall": 0.8884673748103187,
+        "support": 9226.0
       },
-      "eval_accuracy": 0.8705373134328358,
-      "eval_loss": 0.32930415868759155,
+      "eval_accuracy": 0.9267895289474637,
+      "eval_loss": 0.20478281378746033,
       "eval_macro avg": {
-        "f1-score": 0.8400030064359308,
-        "precision": 0.8289599475403894,
-        "recall": 0.8606562413053552,
-        "support": 33500.0
+        "f1-score": 0.8931995317802484,
+        "precision": 0.8816442032093993,
+        "recall": 0.9064976986310321,
+        "support": 27619.0
       },
-      "eval_runtime": 4.7349,
-      "eval_samples_per_second": 17.107,
-      "eval_steps_per_second": 2.323,
+      "eval_runtime": 4.6128,
+      "eval_samples_per_second": 17.343,
+      "eval_steps_per_second": 2.168,
       "eval_weighted avg": {
-        "f1-score": 0.8734092702599646,
-        "precision": 0.8877430445874,
-        "recall": 0.8705373134328358,
-        "support": 33500.0
+        "f1-score": 0.9268447919078652,
+        "precision": 0.9271861479533134,
+        "recall": 0.9267895289474637,
+        "support": 27619.0
       },
       "step": 81
     },
     {
       "epoch": 2.0,
       "eval_B": {
-        "f1-score": 0.8656218739579861,
-        "precision": 0.8325849903784477,
-        "recall": 0.9013888888888889,
-        "support": 1440.0
+        "f1-score": 0.8682547399124939,
+        "precision": 0.8806706114398422,
+        "recall": 0.8561840843720039,
+        "support": 1043.0
       },
       "eval_I": {
-        "f1-score": 0.9547168948727912,
-        "precision": 0.9423736462093862,
-        "recall": 0.9673877796822161,
-        "support": 21587.0
+        "f1-score": 0.9590983771942466,
+        "precision": 0.9592919333448654,
+        "recall": 0.9589048991354466,
+        "support": 17350.0
       },
       "eval_O": {
-        "f1-score": 0.9013528191962081,
-        "precision": 0.9332379102341274,
-        "recall": 0.8715745249689678,
-        "support": 10473.0
+        "f1-score": 0.9226525313717006,
+        "precision": 0.9208594256100194,
+        "recall": 0.9244526338608281,
+        "support": 9226.0
       },
-      "eval_accuracy": 0.9345970149253732,
-      "eval_loss": 0.2162298709154129,
+      "eval_accuracy": 0.9435171439950758,
+      "eval_loss": 0.16574698686599731,
       "eval_macro avg": {
-        "f1-score": 0.9072305293423284,
-        "precision": 0.902732182273987,
-        "recall": 0.9134503978466909,
-        "support": 33500.0
+        "f1-score": 0.9166685494928136,
+        "precision": 0.9202739901315756,
+        "recall": 0.9131805391227594,
+        "support": 27619.0
       },
-      "eval_runtime": 4.753,
-      "eval_samples_per_second": 17.042,
-      "eval_steps_per_second": 2.314,
+      "eval_runtime": 4.6238,
+      "eval_samples_per_second": 17.302,
+      "eval_steps_per_second": 2.163,
       "eval_weighted avg": {
-        "f1-score": 0.9342040950316517,
-        "precision": 0.9347982961417612,
-        "recall": 0.9345970149253732,
-        "support": 33500.0
+        "f1-score": 0.9434932036816766,
+        "precision": 0.9434846863370583,
+        "recall": 0.9435171439950758,
+        "support": 27619.0
       },
       "step": 162
     },
     {
       "epoch": 3.0,
       "eval_B": {
-        "f1-score": 0.8603587759409076,
-        "precision": 0.8717034925160371,
-        "recall": 0.8493055555555555,
-        "support": 1440.0
+        "f1-score": 0.8791725434884815,
+        "precision": 0.8625461254612546,
+        "recall": 0.8964525407478428,
+        "support": 1043.0
       },
       "eval_I": {
-        "f1-score": 0.9434195218082959,
-        "precision": 0.9677057963955188,
-        "recall": 0.9203224162690509,
-        "support": 21587.0
+        "f1-score": 0.9588372159825352,
+        "precision": 0.9557349825345015,
+        "recall": 0.9619596541786744,
+        "support": 17350.0
       },
       "eval_O": {
-        "f1-score": 0.8879310344827586,
-        "precision": 0.8459410391631365,
-        "recall": 0.9343072663038289,
-        "support": 10473.0
+        "f1-score": 0.9204284621270084,
+        "precision": 0.9282407407407407,
+        "recall": 0.9127465857359636,
+        "support": 9226.0
       },
-      "eval_accuracy": 0.9216417910447762,
-      "eval_loss": 0.24082203209400177,
+      "eval_accuracy": 0.9430464535283681,
+      "eval_loss": 0.15394224226474762,
       "eval_macro avg": {
-        "f1-score": 0.8972364440773206,
-        "precision": 0.8951167760248975,
-        "recall": 0.9013117460428117,
-        "support": 33500.0
+        "f1-score": 0.9194794071993417,
+        "precision": 0.9155072829121655,
+        "recall": 0.9237195935541602,
+        "support": 27619.0
       },
-      "eval_runtime": 4.7554,
-      "eval_samples_per_second": 17.033,
-      "eval_steps_per_second": 2.313,
+      "eval_runtime": 4.6233,
+      "eval_samples_per_second": 17.303,
+      "eval_steps_per_second": 2.163,
       "eval_weighted avg": {
-        "f1-score": 0.9225019575751797,
-        "precision": 0.9255121957960801,
-        "recall": 0.9216417910447762,
-        "support": 33500.0
+        "f1-score": 0.9429985029052194,
+        "precision": 0.9430314866542512,
+        "recall": 0.9430464535283681,
+        "support": 27619.0
       },
       "step": 243
     }
@@ -131,7 +131,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 50,
   "save_steps": 500,
-  "total_flos": 430020331007400.0,
+  "total_flos": 431359958206800.0,
   "train_batch_size": 4,
   "trial_name": null,
   "trial_params": null

checkpoint-243/training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b8ca363922308e3892528dd031742ffedc372734b464a042d09444af9700901e
+oid sha256:821ca433db9ddb761291ab61fc06d651ad248cd9d560cdb25f7f905e5aaff14e
 size 4856