metadata
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: babylm-unablated_seed-42_1e-3
results: []
babylm-unablated_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0094
- Accuracy: 0.4211
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 |
|---|---|---|---|---|
| 6.1639 | 0.9999 | 1779 | 4.2644 | 0.3043 |
| 4.0418 | 1.9997 | 3558 | 3.7367 | 0.3467 |
| 3.6074 | 2.9996 | 5337 | 3.4761 | 0.3701 |
| 3.3836 | 4.0 | 7117 | 3.3380 | 0.3832 |
| 3.2939 | 4.9999 | 8896 | 3.2569 | 0.3913 |
| 3.1911 | 5.9997 | 10675 | 3.2081 | 0.3959 |
| 3.1276 | 6.9996 | 12454 | 3.1743 | 0.3993 |
| 3.0834 | 8.0 | 14234 | 3.1533 | 0.4014 |
| 3.0525 | 8.9999 | 16013 | 3.1344 | 0.4033 |
| 3.0036 | 9.9997 | 17792 | 3.1221 | 0.4050 |
| 2.9901 | 10.9996 | 19571 | 3.1156 | 0.4056 |
| 2.9798 | 12.0 | 21351 | 3.1083 | 0.4069 |
| 2.9729 | 12.9999 | 23130 | 3.1015 | 0.4074 |
| 2.9356 | 13.9997 | 24909 | 3.0997 | 0.4076 |
| 2.9282 | 14.9996 | 26688 | 3.0948 | 0.4084 |
| 2.9332 | 16.0 | 28468 | 3.0928 | 0.4090 |
| 2.9346 | 16.9999 | 30247 | 3.0900 | 0.4090 |
| 2.9394 | 17.9997 | 32026 | 3.0874 | 0.4097 |
| 2.8743 | 18.9996 | 33805 | 3.0350 | 0.4163 |
| 2.729 | 19.9972 | 35580 | 3.0094 | 0.4211 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.0