Training in progress epoch 0

README.md

@@ -1,5 +1,6 @@
 ---
 license: mit
+base_model: deepset/gbert-base
 tags:
 - generated_from_keras_callback
 model-index:
@@ -14,8 +15,8 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [deepset/gbert-base](https://huggingface.co/deepset/gbert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1343
-- Validation Loss: 0.0848
+- Train Loss: 0.1379
+- Validation Loss: 0.0909
 - Epoch: 0
 
 ## Model description
@@ -42,12 +43,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.1343     | 0.0848          | 0     |
+| 0.1379     | 0.0909          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - TensorFlow 2.12.0
-- Datasets 2.13.1
+- Datasets 2.14.4
 - Tokenizers 0.13.3

config.json

@@ -39,7 +39,7 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "transformers_version": "4.30.2",
+  "transformers_version": "4.31.0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 31102

logs/train/events.out.tfevents.1692240326.c0e1a8f90838.3962.0.v2

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logs/validation/events.out.tfevents.1692240577.c0e1a8f90838.3962.1.v2

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tf_model.h5

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