File size: 1,871 Bytes
8c8f320 3a27bbe 8c8f320 3a27bbe 8c8f320 1021a39 8c8f320 3a27bbe 8c8f320 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 |
---
license: mit
base_model: indobenchmark/indogpt
tags:
- generated_from_trainer
datasets:
- id-review-gen
model-index:
- name: gpt2-completion-finetune-id-review-gen
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# gpt2-completion-finetune-id-review-gen
This model is a fine-tuned version of [indobenchmark/indogpt](https://huggingface.co./indobenchmark/indogpt) on the id-review-gen dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2807
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.5971 | 1.0 | 2065 | 1.5028 |
| 1.4759 | 2.0 | 4130 | 1.4118 |
| 1.4151 | 3.0 | 6195 | 1.3649 |
| 1.3746 | 4.0 | 8260 | 1.3400 |
| 1.3533 | 5.0 | 10325 | 1.3165 |
| 1.3273 | 6.0 | 12390 | 1.3030 |
| 1.306 | 7.0 | 14455 | 1.2944 |
| 1.2946 | 8.0 | 16520 | 1.2879 |
| 1.2829 | 9.0 | 18585 | 1.2814 |
| 1.2818 | 10.0 | 20650 | 1.2807 |
### Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1
|