Commit
·
5b15b32
1
Parent(s):
bac8105
Upload TFBertForPreTraining
Browse files- README.md +17 -3
- config.json +8 -4
- tf_model.h5 +2 -2
README.md
CHANGED
|
@@ -11,9 +11,11 @@ probably proofread and complete it, then remove this comment. -->
|
|
| 11 |
|
| 12 |
# pretrained-m-bert
|
| 13 |
|
| 14 |
-
This model is a fine-tuned version of [
|
| 15 |
It achieves the following results on the evaluation set:
|
| 16 |
-
|
|
|
|
|
|
|
| 17 |
|
| 18 |
## Model description
|
| 19 |
|
|
@@ -32,11 +34,23 @@ More information needed
|
|
| 32 |
### Training hyperparameters
|
| 33 |
|
| 34 |
The following hyperparameters were used during training:
|
| 35 |
-
- optimizer:
|
| 36 |
- training_precision: float32
|
| 37 |
|
| 38 |
### Training results
|
| 39 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 40 |
|
| 41 |
|
| 42 |
### Framework versions
|
|
|
|
| 11 |
|
| 12 |
# pretrained-m-bert
|
| 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: 6.0589
|
| 17 |
+
- Validation Loss: 12.2793
|
| 18 |
+
- Epoch: 9
|
| 19 |
|
| 20 |
## Model description
|
| 21 |
|
|
|
|
| 34 |
### Training hyperparameters
|
| 35 |
|
| 36 |
The following hyperparameters were used during training:
|
| 37 |
+
- optimizer: {'name': 'Adam', 'learning_rate': 1e-04, 'decay': 0.0, '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 | Validation Loss | Epoch |
|
| 43 |
+
|:----------:|:---------------:|:-----:|
|
| 44 |
+
| 10.2772 | 11.0091 | 0 |
|
| 45 |
+
| 7.9077 | 11.0096 | 1 |
|
| 46 |
+
| 6.8422 | 11.0426 | 2 |
|
| 47 |
+
| 6.6196 | 11.1006 | 3 |
|
| 48 |
+
| 6.4596 | 11.5412 | 4 |
|
| 49 |
+
| 6.9657 | 11.7570 | 5 |
|
| 50 |
+
| 6.3738 | 11.7909 | 6 |
|
| 51 |
+
| 6.1480 | 12.0058 | 7 |
|
| 52 |
+
| 6.2503 | 11.9410 | 8 |
|
| 53 |
+
| 6.0589 | 12.2793 | 9 |
|
| 54 |
|
| 55 |
|
| 56 |
### Framework versions
|
config.json
CHANGED
|
@@ -1,11 +1,10 @@
|
|
| 1 |
{
|
| 2 |
-
"_name_or_path": "amrisaurus/pretrained-bert",
|
| 3 |
"architectures": [
|
| 4 |
-
"
|
| 5 |
],
|
| 6 |
"attention_probs_dropout_prob": 0.1,
|
| 7 |
"classifier_dropout": null,
|
| 8 |
-
"
|
| 9 |
"hidden_act": "gelu",
|
| 10 |
"hidden_dropout_prob": 0.1,
|
| 11 |
"hidden_size": 768,
|
|
@@ -17,9 +16,14 @@
|
|
| 17 |
"num_attention_heads": 12,
|
| 18 |
"num_hidden_layers": 12,
|
| 19 |
"pad_token_id": 0,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
"position_embedding_type": "absolute",
|
| 21 |
"transformers_version": "4.27.0.dev0",
|
| 22 |
"type_vocab_size": 2,
|
| 23 |
"use_cache": true,
|
| 24 |
-
"vocab_size":
|
| 25 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"architectures": [
|
| 3 |
+
"BertForPreTraining"
|
| 4 |
],
|
| 5 |
"attention_probs_dropout_prob": 0.1,
|
| 6 |
"classifier_dropout": null,
|
| 7 |
+
"directionality": "bidi",
|
| 8 |
"hidden_act": "gelu",
|
| 9 |
"hidden_dropout_prob": 0.1,
|
| 10 |
"hidden_size": 768,
|
|
|
|
| 16 |
"num_attention_heads": 12,
|
| 17 |
"num_hidden_layers": 12,
|
| 18 |
"pad_token_id": 0,
|
| 19 |
+
"pooler_fc_size": 768,
|
| 20 |
+
"pooler_num_attention_heads": 12,
|
| 21 |
+
"pooler_num_fc_layers": 3,
|
| 22 |
+
"pooler_size_per_head": 128,
|
| 23 |
+
"pooler_type": "first_token_transform",
|
| 24 |
"position_embedding_type": "absolute",
|
| 25 |
"transformers_version": "4.27.0.dev0",
|
| 26 |
"type_vocab_size": 2,
|
| 27 |
"use_cache": true,
|
| 28 |
+
"vocab_size": 119547
|
| 29 |
}
|
tf_model.h5
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ee16c899da3b4047597557aae1b300660d935ffb668141fa31c010622e24a158
|
| 3 |
+
size 1083389236
|