Training in progress epoch 0

README.md

@@ -21,7 +21,7 @@ It achieves the following results on the evaluation set:
 - Train Recall: 0.0384
 - Train F1: 0.0250
 - Train Accuracy: 0.0354
-- Epoch: 2
+- Epoch: 0
 
 ## Model description
 
@@ -48,13 +48,11 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 0     |
-| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 1     |
-| nan        | nan             | 0.0185          | 0.0384       | 0.0250   | 0.0354         | 2     |
 
 
 ### Framework versions
 
-- Transformers 4.41.0
+- Transformers 4.41.1
 - TensorFlow 2.15.0
-- Datasets 2.19.1
+- Datasets 2.19.2
 - Tokenizers 0.19.1

config.json

@@ -36,6 +36,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.41.0",
+  "transformers_version": "4.41.1",
   "vocab_size": 30522
 }

logs/train/events.out.tfevents.1717495985.734a82a396a6.5209.0.v2

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logs/validation/events.out.tfevents.1717496316.734a82a396a6.5209.1.v2

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tf_model.h5

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