metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: babylm_seed-42_1e-3
results: []
babylm_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0164
- Accuracy: 0.4206
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.1715 | 1.0 | 1803 | 4.2500 | 0.3062 |
| 4.0426 | 2.0 | 3606 | 3.7214 | 0.3486 |
| 3.5775 | 3.0 | 5409 | 3.4693 | 0.3724 |
| 3.3494 | 4.0 | 7212 | 3.3348 | 0.3847 |
| 3.2229 | 5.0 | 9015 | 3.2595 | 0.3912 |
| 3.1569 | 6.0 | 10818 | 3.2099 | 0.3959 |
| 3.0911 | 7.0 | 12621 | 3.1769 | 0.3996 |
| 3.0487 | 8.0 | 14424 | 3.1536 | 0.4015 |
| 3.0168 | 9.0 | 16227 | 3.1386 | 0.4034 |
| 2.9932 | 10.0 | 18030 | 3.1280 | 0.4049 |
| 2.948 | 11.0 | 19833 | 3.1185 | 0.4058 |
| 2.9377 | 12.0 | 21636 | 3.1100 | 0.4068 |
| 2.9329 | 13.0 | 23439 | 3.1038 | 0.4075 |
| 2.928 | 14.0 | 25242 | 3.1013 | 0.4081 |
| 2.9258 | 15.0 | 27045 | 3.0978 | 0.4083 |
| 2.8846 | 16.0 | 28848 | 3.0946 | 0.4086 |
| 2.8898 | 17.0 | 30651 | 3.0941 | 0.4088 |
| 2.8957 | 18.0 | 32454 | 3.0807 | 0.4106 |
| 2.8247 | 19.0 | 34257 | 3.0345 | 0.4165 |
| 2.6757 | 20.0 | 36060 | 3.0164 | 0.4206 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.0