Upload TFPegasusForConditionalGeneration
Browse files- README.md +56 -0
- config.json +31 -0
- generation_config.json +8 -0
- tf_model.h5 +3 -0
README.md
ADDED
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_keras_callback
|
4 |
+
model-index:
|
5 |
+
- name: pegasus-indonesian-base_finetune
|
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 |
+
# pegasus-indonesian-base_finetune
|
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: 1.6196
|
17 |
+
- Train Accuracy: 0.1079
|
18 |
+
- Validation Loss: 1.4097
|
19 |
+
- Validation Accuracy: 0.1153
|
20 |
+
- Train Lr: 0.00013661868
|
21 |
+
- Epoch: 1
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- optimizer: {'name': 'Adafactor', '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': 0.00013661868, 'beta_2_decay': -0.8, 'epsilon_1': 1e-30, 'epsilon_2': 0.001, 'clip_threshold': 1.0, 'relative_step': True}
|
41 |
+
- training_precision: float32
|
42 |
+
|
43 |
+
### Training results
|
44 |
+
|
45 |
+
| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Train Lr | Epoch |
|
46 |
+
|:----------:|:--------------:|:---------------:|:-------------------:|:-------------:|:-----:|
|
47 |
+
| 2.3484 | 0.0859 | 1.6304 | 0.1080 | 0.00013661868 | 0 |
|
48 |
+
| 1.6196 | 0.1079 | 1.4097 | 0.1153 | 0.00013661868 | 1 |
|
49 |
+
|
50 |
+
|
51 |
+
### Framework versions
|
52 |
+
|
53 |
+
- Transformers 4.30.2
|
54 |
+
- TensorFlow 2.12.0
|
55 |
+
- Datasets 2.13.1
|
56 |
+
- Tokenizers 0.13.3
|
config.json
ADDED
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"activation_dropout": 0.0,
|
3 |
+
"activation_function": "gelu",
|
4 |
+
"architectures": [
|
5 |
+
"PegasusForConditionalGeneration"
|
6 |
+
],
|
7 |
+
"attention_dropout": 0.0,
|
8 |
+
"d_model": 512,
|
9 |
+
"decoder_attention_heads": 8,
|
10 |
+
"decoder_ffn_dim": 3072,
|
11 |
+
"decoder_layerdrop": 0.0,
|
12 |
+
"decoder_layers": 12,
|
13 |
+
"decoder_start_token_id": 0,
|
14 |
+
"dropout": 0.15,
|
15 |
+
"encoder_attention_heads": 8,
|
16 |
+
"encoder_ffn_dim": 3072,
|
17 |
+
"encoder_layerdrop": 0.0,
|
18 |
+
"encoder_layers": 12,
|
19 |
+
"eos_token_id": 1,
|
20 |
+
"forced_eos_token_id": 1,
|
21 |
+
"init_std": 0.02,
|
22 |
+
"is_encoder_decoder": true,
|
23 |
+
"max_position_embeddings": 1024,
|
24 |
+
"model_type": "pegasus",
|
25 |
+
"num_hidden_layers": 12,
|
26 |
+
"pad_token_id": 0,
|
27 |
+
"scale_embedding": false,
|
28 |
+
"transformers_version": "4.30.2",
|
29 |
+
"use_cache": true,
|
30 |
+
"vocab_size": 32103
|
31 |
+
}
|
generation_config.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"decoder_start_token_id": 0,
|
4 |
+
"eos_token_id": 1,
|
5 |
+
"forced_eos_token_id": 1,
|
6 |
+
"pad_token_id": 0,
|
7 |
+
"transformers_version": "4.30.2"
|
8 |
+
}
|
tf_model.h5
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:040db8a62c549588552ed971e84938c3a50fd8969c4c7f8e0163d7046c930a21
|
3 |
+
size 524505948
|