metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: babylm-default_seed-42_1e-3
results: []
babylm-default_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0140
- 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 |
|---|---|---|---|---|
| 6.1739 | 0.9998 | 1788 | 4.2510 | 0.3061 |
| 4.046 | 1.9996 | 3576 | 3.7290 | 0.3476 |
| 3.6189 | 2.9999 | 5365 | 3.4764 | 0.3702 |
| 3.3937 | 3.9997 | 7153 | 3.3392 | 0.3835 |
| 3.31 | 4.9995 | 8941 | 3.2583 | 0.3910 |
| 3.2013 | 5.9999 | 10730 | 3.2094 | 0.3957 |
| 3.137 | 6.9997 | 12518 | 3.1786 | 0.3994 |
| 3.093 | 8.0 | 14307 | 3.1544 | 0.4016 |
| 3.0609 | 8.9998 | 16095 | 3.1376 | 0.4034 |
| 3.0177 | 9.9996 | 17883 | 3.1239 | 0.4050 |
| 2.996 | 10.9999 | 19672 | 3.1167 | 0.4059 |
| 2.9871 | 11.9997 | 21460 | 3.1099 | 0.4064 |
| 2.9784 | 12.9995 | 23248 | 3.1047 | 0.4073 |
| 2.9731 | 13.9999 | 25037 | 3.1005 | 0.4079 |
| 2.9327 | 14.9997 | 26825 | 3.0990 | 0.4084 |
| 2.9351 | 16.0 | 28614 | 3.0970 | 0.4088 |
| 2.9407 | 16.9998 | 30402 | 3.0905 | 0.4092 |
| 2.9456 | 17.9996 | 32190 | 3.0857 | 0.4099 |
| 2.8908 | 18.9999 | 33979 | 3.0347 | 0.4161 |
| 2.7363 | 19.9958 | 35760 | 3.0140 | 0.4206 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.0