aksakalalper commited on
Commit
7d81e10
·
verified ·
1 Parent(s): 88088c8

Upload TFBertForPreTraining

Browse files
Files changed (3) hide show
  1. README.md +52 -0
  2. config.json +23 -0
  3. tf_model.h5 +3 -0
README.md ADDED
@@ -0,0 +1,52 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ tags:
4
+ - generated_from_keras_callback
5
+ model-index:
6
+ - name: bert-base-turkish-cased-v02
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
11
+ probably proofread and complete it, then remove this comment. -->
12
+
13
+ # bert-base-turkish-cased-v02
14
+
15
+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
16
+ It achieves the following results on the evaluation set:
17
+ - Train Loss: 11.0858
18
+ - Epoch: 0
19
+
20
+ ## Model description
21
+
22
+ More information needed
23
+
24
+ ## Intended uses & limitations
25
+
26
+ More information needed
27
+
28
+ ## Training and evaluation data
29
+
30
+ More information needed
31
+
32
+ ## Training procedure
33
+
34
+ ### Training hyperparameters
35
+
36
+ The following hyperparameters were used during training:
37
+ - optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': False, 'is_legacy_optimizer': False, 'learning_rate': 1e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
38
+ - training_precision: float32
39
+
40
+ ### Training results
41
+
42
+ | Train Loss | Epoch |
43
+ |:----------:|:-----:|
44
+ | 11.0858 | 0 |
45
+
46
+
47
+ ### Framework versions
48
+
49
+ - Transformers 4.48.1
50
+ - TensorFlow 2.18.0
51
+ - Datasets 3.2.0
52
+ - Tokenizers 0.21.0
config.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "BertForPreTraining"
4
+ ],
5
+ "attention_probs_dropout_prob": 0.1,
6
+ "classifier_dropout": null,
7
+ "hidden_act": "gelu",
8
+ "hidden_dropout_prob": 0.1,
9
+ "hidden_size": 128,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 512,
12
+ "layer_norm_eps": 1e-12,
13
+ "max_position_embeddings": 512,
14
+ "model_type": "bert",
15
+ "num_attention_heads": 2,
16
+ "num_hidden_layers": 2,
17
+ "pad_token_id": 0,
18
+ "position_embedding_type": "absolute",
19
+ "transformers_version": "4.48.1",
20
+ "type_vocab_size": 2,
21
+ "use_cache": true,
22
+ "vocab_size": 32000
23
+ }
tf_model.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b0afa844be59dddd65c5fef2ec420f192624c8542791600d06cffd328d82f673
3
+ size 35229696