File size: 2,249 Bytes
f159bce |
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 71 72 73 74 75 76 77 |
---
library_name: peft
tags:
- generated_from_trainer
base_model: slplab/polyglot-ko-1.3b-pretrained-asd
model-index:
- name: pretrain-asd_w-cot_w-asd_text-features
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. -->
# pretrain-asd_w-cot_w-asd_text-features
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2919
## 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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.5331 | 0.1725 | 1000 | 0.3109 |
| 0.3076 | 0.3450 | 2000 | 0.3025 |
| 0.2963 | 0.5174 | 3000 | 0.3007 |
| 0.3008 | 0.6899 | 4000 | 0.2992 |
| 0.2969 | 0.8624 | 5000 | 0.2984 |
| 0.2956 | 1.0349 | 6000 | 0.2977 |
| 0.2943 | 1.2074 | 7000 | 0.3000 |
| 0.2973 | 1.3798 | 8000 | 0.2968 |
| 0.2927 | 1.5523 | 9000 | 0.2953 |
| 0.2949 | 1.7248 | 10000 | 0.2943 |
| 0.2915 | 1.8973 | 11000 | 0.2931 |
| 0.2897 | 2.0698 | 12000 | 0.2937 |
| 0.2885 | 2.2422 | 13000 | 0.2926 |
| 0.2945 | 2.4147 | 14000 | 0.2928 |
| 0.2907 | 2.5872 | 15000 | 0.2923 |
| 0.292 | 2.7597 | 16000 | 0.2922 |
| 0.2899 | 2.9322 | 17000 | 0.2919 |
### Framework versions
- PEFT 0.11.1
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1 |