End of training

README.md

@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4958
+- Loss: 1.4617
 
 ## Model description
 

logs/events.out.tfevents.1705756331.73c15bc94ff8.26.0

@@ -1,3 +1,3 @@
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-size 1718642
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+size 1719070

model.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:060061aea4c77414c4ae9a21f6ac3719318a94583c41cfd343e10bd6c0773fa1
+oid sha256:8d50cb9ae99c2c04d44d00182ea4a48b1068afd1769a4b2153f7c32a99ca3525
 size 535667604

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": 1.558716893196106,
-  "best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-4500",
-  "epoch": 11.117211182216234,
+  "best_metric": 1.4957914352416992,
+  "best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-8250",
+  "epoch": 12.127652408218255,
   "eval_steps": 750,
-  "global_step": 8250,
+  "global_step": 9000,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -170,6 +170,20 @@
       "eval_samples_per_second": 59.041,
       "eval_steps_per_second": 0.933,
       "step": 8250
+    },
+    {
+      "epoch": 12.13,
+      "learning_rate": 4.4947439353099734e-05,
+      "loss": 1.0493,
+      "step": 9000
+    },
+    {
+      "epoch": 12.13,
+      "eval_loss": 1.4617092609405518,
+      "eval_runtime": 84.4178,
+      "eval_samples_per_second": 59.229,
+      "eval_steps_per_second": 0.936,
+      "step": 9000
     }
   ],
   "logging_steps": 750,
@@ -177,7 +191,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 50,
   "save_steps": 750,
-  "total_flos": 3.570611165392896e+17,
+  "total_flos": 3.8952097211437056e+17,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null