jcfneto commited on
Commit
52e0a62
1 Parent(s): 4cc5b30

Upload TFBertForPreTraining

Browse files
Files changed (3) hide show
  1. README.md +59 -0
  2. config.json +23 -0
  3. tf_model.h5 +3 -0
README.md ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_keras_callback
4
+ model-index:
5
+ - name: bert-tv-portuguese
6
+ results: []
7
+ ---
8
+
9
+ <!-- This model card has been generated automatically according to the information Keras had access to. You should
10
+ probably proofread and complete it, then remove this comment. -->
11
+
12
+ # bert-tv-portuguese
13
+
14
+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
15
+ It achieves the following results on the evaluation set:
16
+ - Train Loss: 2.3734
17
+ - Epoch: 8
18
+
19
+ ## Model description
20
+
21
+ More information needed
22
+
23
+ ## Intended uses & limitations
24
+
25
+ More information needed
26
+
27
+ ## Training and evaluation data
28
+
29
+ More information needed
30
+
31
+ ## Training procedure
32
+
33
+ ### Training hyperparameters
34
+
35
+ The following hyperparameters were used during training:
36
+ - optimizer: {'name': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.000102, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
37
+ - training_precision: float32
38
+
39
+ ### Training results
40
+
41
+ | Train Loss | Epoch |
42
+ |:----------:|:-----:|
43
+ | 6.3513 | 0 |
44
+ | 4.4775 | 1 |
45
+ | 3.5899 | 2 |
46
+ | 3.1742 | 3 |
47
+ | 2.9347 | 4 |
48
+ | 2.7461 | 5 |
49
+ | 2.5957 | 6 |
50
+ | 2.4721 | 7 |
51
+ | 2.3734 | 8 |
52
+
53
+
54
+ ### Framework versions
55
+
56
+ - Transformers 4.27.3
57
+ - TensorFlow 2.11.1
58
+ - Datasets 2.11.0
59
+ - Tokenizers 0.13.3
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": 0.2,
9
+ "hidden_size": 768,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 1024,
12
+ "layer_norm_eps": 1e-12,
13
+ "max_position_embeddings": 512,
14
+ "model_type": "bert",
15
+ "num_attention_heads": 12,
16
+ "num_hidden_layers": 6,
17
+ "pad_token_id": 0,
18
+ "position_embedding_type": "absolute",
19
+ "transformers_version": "4.27.3",
20
+ "type_vocab_size": 2,
21
+ "use_cache": true,
22
+ "vocab_size": 29794
23
+ }
tf_model.h5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bafd6303abdefb54ddff1f6b0dbdc709acf555f00b2fb5c30e15e93dc85f6dd2
3
+ size 285808616