|
--- |
|
library_name: transformers |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- kanishka/babylm2-rewritten-clean-spacy-random_removal_numadj |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: opt-babylm2-rewritten-clean-spacy-random_removal_numadj-earlystop-bpe_seed-42_1e-3 |
|
results: |
|
- task: |
|
name: Causal Language Modeling |
|
type: text-generation |
|
dataset: |
|
name: kanishka/babylm2-rewritten-clean-spacy-random_removal_numadj |
|
type: kanishka/babylm2-rewritten-clean-spacy-random_removal_numadj |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.47811193958124093 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# opt-babylm2-rewritten-clean-spacy-random_removal_numadj-earlystop-bpe_seed-42_1e-3 |
|
|
|
This model was trained from scratch on the kanishka/babylm2-rewritten-clean-spacy-random_removal_numadj dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.6927 |
|
- Accuracy: 0.4781 |
|
|
|
## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
|
- 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 | |
|
|:-------------:|:-------:|:-----:|:---------------:|:--------:| |
|
| 32.5094 | 0.9997 | 2243 | 3.8102 | 0.3615 | |
|
| 27.4934 | 1.9997 | 4486 | 3.2932 | 0.4103 | |
|
| 24.9364 | 2.9997 | 6729 | 3.0832 | 0.4316 | |
|
| 23.6407 | 3.9997 | 8972 | 2.9806 | 0.4416 | |
|
| 22.7053 | 4.9997 | 11215 | 2.9227 | 0.4477 | |
|
| 22.2601 | 5.9997 | 13458 | 2.8859 | 0.4513 | |
|
| 21.9123 | 6.9997 | 15701 | 2.8600 | 0.4546 | |
|
| 21.6403 | 7.9997 | 17944 | 2.8425 | 0.4570 | |
|
| 21.5087 | 8.9997 | 20187 | 2.8276 | 0.4585 | |
|
| 21.3483 | 9.9997 | 22430 | 2.8189 | 0.4596 | |
|
| 21.2068 | 10.9997 | 24673 | 2.8091 | 0.4604 | |
|
| 21.0757 | 11.9997 | 26916 | 2.8028 | 0.4610 | |
|
| 21.12 | 12.9997 | 29159 | 2.7997 | 0.4619 | |
|
| 21.0442 | 13.9997 | 31402 | 2.7952 | 0.4622 | |
|
| 20.9217 | 14.9997 | 33645 | 2.7750 | 0.4649 | |
|
| 20.5419 | 15.9997 | 35888 | 2.7506 | 0.4683 | |
|
| 20.1666 | 16.9997 | 38131 | 2.7245 | 0.4714 | |
|
| 19.7172 | 17.9997 | 40374 | 2.7101 | 0.4740 | |
|
| 19.1888 | 18.9997 | 42617 | 2.6955 | 0.4768 | |
|
| 18.63 | 19.9997 | 44860 | 2.6927 | 0.4781 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.47.1 |
|
- Pytorch 2.5.1+cu124 |
|
- Datasets 3.1.0 |
|
- Tokenizers 0.21.0 |
|
|
