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: 9.3213
-- eval_runtime: 84.1492
-- eval_samples_per_second: 59.418
-- eval_steps_per_second: 0.939
-- epoch: 0.01
-- step: 20
+- eval_loss: 8.6995
+- eval_runtime: 83.8513
+- eval_samples_per_second: 59.629
+- eval_steps_per_second: 0.942
+- epoch: 0.03
+- step: 40
 
 ## Model description
 

model.safetensors

@@ -1,3 +1,3 @@
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 size 535667604

runs/Jan05_08-54-19_4b3636b992a4/events.out.tfevents.1704444861.4b3636b992a4.42.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fc937929d2c592d7ba0dd2ae4a8799791891307637275d1e875810ff27bd4faf
-size 1717282
+oid sha256:8c265108734da9282c8f4472a75294b8805f1a2ce8750fae89fa3375cfaba904
+size 1717702

trainer_state.json

@@ -1,9 +1,9 @@
 {
-  "best_metric": null,
-  "best_model_checkpoint": null,
-  "epoch": 0.013472549680026945,
+  "best_metric": 9.321273803710938,
+  "best_model_checkpoint": "ner-bert-ingredients/checkpoint-20",
+  "epoch": 0.02694509936005389,
   "eval_steps": 20,
-  "global_step": 20,
+  "global_step": 40,
   "is_hyper_param_search": false,
   "is_local_process_zero": true,
   "is_world_process_zero": true,
@@ -21,6 +21,20 @@
       "eval_samples_per_second": 59.418,
       "eval_steps_per_second": 0.939,
       "step": 20
+    },
+    {
+      "epoch": 0.03,
+      "learning_rate": 4.9973045822102424e-05,
+      "loss": 9.0849,
+      "step": 40
+    },
+    {
+      "epoch": 0.03,
+      "eval_loss": 8.699505805969238,
+      "eval_runtime": 83.8513,
+      "eval_samples_per_second": 59.629,
+      "eval_steps_per_second": 0.942,
+      "step": 40
     }
   ],
   "logging_steps": 20,
@@ -28,7 +42,7 @@
   "num_input_tokens_seen": 0,
   "num_train_epochs": 50,
   "save_steps": 20,
-  "total_flos": 432834143846400.0,
+  "total_flos": 865668287692800.0,
   "train_batch_size": 16,
   "trial_name": null,
   "trial_params": null