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: 1.9960
+- Loss: 1.7031
 
 ## Model description
 

logs/events.out.tfevents.1705498568.ed78651fcb5b.26.0

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

model.safetensors

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-oid sha256:40945b1e1b326835d42bda4cb2b00f879db6762cddba4ad91db57b8b5f62bc5b
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trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": 2.4815261363983154,
-  "best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-2250",
-  "epoch": 4.042101717750084,
+  "best_metric": 1.9960429668426514,
+  "best_model_checkpoint": "ner-bert-ingredientstesting/checkpoint-3000",
+  "epoch": 5.052542943752105,
   "eval_steps": 750,
-  "global_step": 3000,
+  "global_step": 3750,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -72,6 +72,20 @@
       "eval_samples_per_second": 59.304,
       "eval_steps_per_second": 0.937,
       "step": 3000
+    },
+    {
+      "epoch": 5.05,
+      "learning_rate": 4.594743935309973e-05,
+      "loss": 1.7594,
+      "step": 3750
+    },
+    {
+      "epoch": 5.05,
+      "eval_loss": 1.7031219005584717,
+      "eval_runtime": 84.3933,
+      "eval_samples_per_second": 59.246,
+      "eval_steps_per_second": 0.936,
+      "step": 3750
     }
   ],
   "logging_steps": 750,
@@ -79,7 +93,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 50,
   "save_steps": 750,
-  "total_flos": 1.2984212751372288e+17,
+  "total_flos": 1.6230198308880384e+17,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null