End of training
Browse files- README.md +90 -0
- generation_config.json +11 -0
- pytorch_model.bin +1 -1
README.md
ADDED
|
@@ -0,0 +1,90 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: mit
|
| 3 |
+
base_model: indobenchmark/indobart-v2
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- bleu
|
| 8 |
+
model-index:
|
| 9 |
+
- name: indobart-indonlg-nusax-500-jv-id
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# indobart-indonlg-nusax-500-jv-id
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on the None dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 0.6148
|
| 21 |
+
- Bleu: 20.3132
|
| 22 |
+
- Gen Len: 19.3294
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 2e-05
|
| 42 |
+
- train_batch_size: 64
|
| 43 |
+
- eval_batch_size: 16
|
| 44 |
+
- seed: 42
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- num_epochs: 30
|
| 48 |
+
|
| 49 |
+
### Training results
|
| 50 |
+
|
| 51 |
+
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|
| 52 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
|
| 53 |
+
| No log | 1.0 | 114 | 0.8182 | 12.2063 | 19.4575 |
|
| 54 |
+
| No log | 2.0 | 228 | 0.7390 | 14.2482 | 19.3932 |
|
| 55 |
+
| No log | 3.0 | 342 | 0.6975 | 15.9974 | 19.4014 |
|
| 56 |
+
| No log | 4.0 | 456 | 0.6706 | 16.578 | 19.3601 |
|
| 57 |
+
| 0.849 | 5.0 | 570 | 0.6527 | 17.2313 | 19.3713 |
|
| 58 |
+
| 0.849 | 6.0 | 684 | 0.6392 | 17.9 | 19.3477 |
|
| 59 |
+
| 0.849 | 7.0 | 798 | 0.6285 | 18.0166 | 19.3495 |
|
| 60 |
+
| 0.849 | 8.0 | 912 | 0.6242 | 18.2424 | 19.3347 |
|
| 61 |
+
| 0.4461 | 9.0 | 1026 | 0.6170 | 18.6378 | 19.3648 |
|
| 62 |
+
| 0.4461 | 10.0 | 1140 | 0.6148 | 19.0513 | 19.3365 |
|
| 63 |
+
| 0.4461 | 11.0 | 1254 | 0.6106 | 19.5335 | 19.3383 |
|
| 64 |
+
| 0.4461 | 12.0 | 1368 | 0.6097 | 19.2886 | 19.3353 |
|
| 65 |
+
| 0.4461 | 13.0 | 1482 | 0.6079 | 19.5712 | 19.3347 |
|
| 66 |
+
| 0.3344 | 14.0 | 1596 | 0.6067 | 19.4256 | 19.3684 |
|
| 67 |
+
| 0.3344 | 15.0 | 1710 | 0.6078 | 19.7062 | 19.3483 |
|
| 68 |
+
| 0.3344 | 16.0 | 1824 | 0.6052 | 19.6353 | 19.3506 |
|
| 69 |
+
| 0.3344 | 17.0 | 1938 | 0.6072 | 19.8745 | 19.3318 |
|
| 70 |
+
| 0.2674 | 18.0 | 2052 | 0.6076 | 20.0834 | 19.3318 |
|
| 71 |
+
| 0.2674 | 19.0 | 2166 | 0.6078 | 20.082 | 19.3506 |
|
| 72 |
+
| 0.2674 | 20.0 | 2280 | 0.6098 | 20.1934 | 19.3117 |
|
| 73 |
+
| 0.2674 | 21.0 | 2394 | 0.6094 | 20.1326 | 19.3453 |
|
| 74 |
+
| 0.225 | 22.0 | 2508 | 0.6109 | 20.2045 | 19.3329 |
|
| 75 |
+
| 0.225 | 23.0 | 2622 | 0.6133 | 20.0595 | 19.3495 |
|
| 76 |
+
| 0.225 | 24.0 | 2736 | 0.6117 | 20.2089 | 19.3442 |
|
| 77 |
+
| 0.225 | 25.0 | 2850 | 0.6141 | 20.2566 | 19.3264 |
|
| 78 |
+
| 0.225 | 26.0 | 2964 | 0.6143 | 20.3092 | 19.3329 |
|
| 79 |
+
| 0.199 | 27.0 | 3078 | 0.6134 | 20.3808 | 19.33 |
|
| 80 |
+
| 0.199 | 28.0 | 3192 | 0.6141 | 20.412 | 19.34 |
|
| 81 |
+
| 0.199 | 29.0 | 3306 | 0.6148 | 20.2613 | 19.3359 |
|
| 82 |
+
| 0.199 | 30.0 | 3420 | 0.6148 | 20.3132 | 19.3294 |
|
| 83 |
+
|
| 84 |
+
|
| 85 |
+
### Framework versions
|
| 86 |
+
|
| 87 |
+
- Transformers 4.33.1
|
| 88 |
+
- Pytorch 2.1.0+cu118
|
| 89 |
+
- Datasets 2.15.0
|
| 90 |
+
- Tokenizers 0.13.3
|
generation_config.json
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 0,
|
| 3 |
+
"decoder_start_token_id": 2,
|
| 4 |
+
"early_stopping": true,
|
| 5 |
+
"eos_token_id": 2,
|
| 6 |
+
"forced_eos_token_id": 2,
|
| 7 |
+
"no_repeat_ngram_size": 3,
|
| 8 |
+
"num_beams": 4,
|
| 9 |
+
"pad_token_id": 1,
|
| 10 |
+
"transformers_version": "4.33.1"
|
| 11 |
+
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 526422442
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65d4a5dc96f023a334d9450e399a787b6fb8e821cf8407e19c2696fcca194c9b
|
| 3 |
size 526422442
|