End of training

README.md

@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 4.0105
-- eval_runtime: 85.2403
-- eval_samples_per_second: 58.658
-- eval_steps_per_second: 0.927
-- epoch: 1.01
-- step: 750
+- eval_loss: 2.6926
+- eval_runtime: 84.8728
+- eval_samples_per_second: 58.912
+- eval_steps_per_second: 0.931
+- epoch: 2.02
+- step: 1500
 
 ## Model description
 

logs/events.out.tfevents.1704536554.9585f193967c.27.0

@@ -1,3 +1,3 @@
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-size 1717266
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+size 1717694

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:51e67bf3988dfeca2610acc41b0ba71cad4c8ed7aedf5b9a68ff42087ab7512e
+oid sha256:5977be66008ccbf3a905fc1702f6f36943ba6cce85352db22c1b3a5d7cd17879
 size 535667604

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": null,
-  "best_model_checkpoint": null,
-  "epoch": 1.0104412260020208,
+  "best_metric": 4.010455131530762,
+  "best_model_checkpoint": "ner-bert-ingredients/checkpoint-750",
+  "epoch": 2.0208824520040416,
   "eval_steps": 750,
-  "global_step": 750,
+  "global_step": 1500,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -21,6 +21,20 @@
       "eval_samples_per_second": 58.658,
       "eval_steps_per_second": 0.927,
       "step": 750
+    },
+    {
+      "epoch": 2.02,
+      "learning_rate": 4.8989218328840976e-05,
+      "loss": 3.2428,
+      "step": 1500
+    },
+    {
+      "epoch": 2.02,
+      "eval_loss": 2.692633867263794,
+      "eval_runtime": 84.8728,
+      "eval_samples_per_second": 58.912,
+      "eval_steps_per_second": 0.931,
+      "step": 1500
     }
   ],
   "logging_steps": 750,
@@ -28,7 +42,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 100,
   "save_steps": 750,
-  "total_flos": 3.245985557508096e+16,
+  "total_flos": 6.491971115016192e+16,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null