Model save
Browse files- README.md +51 -0
- generation_config.json +6 -0
README.md
ADDED
@@ -0,0 +1,51 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
tags:
|
3 |
+
- generated_from_trainer
|
4 |
+
model-index:
|
5 |
+
- name: distilgpt2-javanese
|
6 |
+
results: []
|
7 |
+
---
|
8 |
+
|
9 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
10 |
+
should probably proofread and complete it, then remove this comment. -->
|
11 |
+
|
12 |
+
# distilgpt2-javanese
|
13 |
+
|
14 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
15 |
+
|
16 |
+
## Model description
|
17 |
+
|
18 |
+
More information needed
|
19 |
+
|
20 |
+
## Intended uses & limitations
|
21 |
+
|
22 |
+
More information needed
|
23 |
+
|
24 |
+
## Training and evaluation data
|
25 |
+
|
26 |
+
More information needed
|
27 |
+
|
28 |
+
## Training procedure
|
29 |
+
|
30 |
+
### Training hyperparameters
|
31 |
+
|
32 |
+
The following hyperparameters were used during training:
|
33 |
+
- learning_rate: 5e-05
|
34 |
+
- train_batch_size: 16
|
35 |
+
- eval_batch_size: 4
|
36 |
+
- seed: 42
|
37 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
38 |
+
- lr_scheduler_type: linear
|
39 |
+
- num_epochs: 5.0
|
40 |
+
- mixed_precision_training: Native AMP
|
41 |
+
|
42 |
+
### Training results
|
43 |
+
|
44 |
+
|
45 |
+
|
46 |
+
### Framework versions
|
47 |
+
|
48 |
+
- Transformers 4.42.4
|
49 |
+
- Pytorch 2.3.1+cu121
|
50 |
+
- Datasets 2.20.0
|
51 |
+
- Tokenizers 0.19.1
|
generation_config.json
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"bos_token_id": 50256,
|
4 |
+
"eos_token_id": 50256,
|
5 |
+
"transformers_version": "4.42.4"
|
6 |
+
}
|