Training in progress epoch 0

README.md

@@ -15,12 +15,12 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0430
-- Validation Loss: 0.0424
-- Train Precision: 0.9177
-- Train Recall: 0.9270
-- Train F1: 0.9224
-- Train Accuracy: 0.9855
+- Train Loss: 0.0426
+- Validation Loss: 0.0401
+- Train Precision: 0.9159
+- Train Recall: 0.9284
+- Train F1: 0.9221
+- Train Accuracy: 0.9860
 - Epoch: 0
 
 ## Model description
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
-| 0.0430     | 0.0424          | 0.9177          | 0.9270       | 0.9224   | 0.9855         | 0     |
+| 0.0426     | 0.0401          | 0.9159          | 0.9284       | 0.9221   | 0.9860         | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701563713.snek.100056.0.v2

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logs/validation/events.out.tfevents.1701565217.snek.100056.1.v2

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metrics_by_entity.txt

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 {"ANIM": {"precision": 0.7207253886010363, "recall": 0.6165780141843972, "f1": 0.6645962732919255, "number": "4512"}, "DIS": {"precision": 0.7083734359961501, "recall": 0.7907601396723073, "f1": 0.7473029572280746, "number": "7446"}, "LOC": {"precision": 0.9684916006615023, "recall": 0.9709424083769633, "f1": 0.969715456011155, "number": "22920"}, "ORG": {"precision": 0.9265191965420798, "recall": 0.943064182194617, "f1": 0.934718481467231, "number": "7728"}, "PER": {"precision": 0.9815356674402179, "recall": 0.9926530612244898, "f1": 0.9870630612348434, "number": "19600"}, "overall_precision": 0.9177249435055221, "overall_recall": 0.9270488377326946, "overall_f1": 0.9223633281085059, "overall_accuracy": 0.9854759246787036}
+{"ANIM": {"precision": 0.6615262949782523, "recall": 0.7415780141843972, "f1": 0.6992685475444096, "number": "4512"}, "DIS": {"precision": 0.7221940071102082, "recall": 0.7639000805801772, "f1": 0.7424618196057956, "number": "7446"}, "LOC": {"precision": 0.9658289718413426, "recall": 0.9742146596858638, "f1": 0.9700036925215578, "number": "22920"}, "ORG": {"precision": 0.9490376795879643, "recall": 0.906055900621118, "f1": 0.9270488547596981, "number": "7728"}, "PER": {"precision": 0.9880746101314851, "recall": 0.9891836734693877, "f1": 0.9886288307582478, "number": "19600"}, "overall_precision": 0.9159437298780391, "overall_recall": 0.9284152654084815, "overall_f1": 0.9221373314492372, "overall_accuracy": 0.9860191071049645}

tf_model.h5

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tokenizer.json

@@ -1,11 +1,6 @@
 {
   "version": "1.0",
-  "truncation": {
-    "direction": "Right",
-    "max_length": 512,
-    "strategy": "LongestFirst",
-    "stride": 0
-  },
+  "truncation": null,
   "padding": null,
   "added_tokens": [
     {