metadata
library_name: transformers
tags:
- generated_from_trainer
datasets:
- data/babylm
metrics:
- accuracy
model-index:
- name: base_seed-42_1e-3
results:
- task:
name: Causal Language Modeling
type: text-generation
dataset:
name: data/babylm
type: data/babylm
metrics:
- name: Accuracy
type: accuracy
value: 0
base_seed-42_1e-3
This model was trained from scratch on the data/babylm dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Accuracy: 0.0
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 41630360724688510976.0000 | 1.0 | 1824 | nan | 0.0 |
| 0.0 | 2.0 | 3648 | nan | 0.0 |
| 0.0 | 3.0 | 5472 | nan | 0.0 |
| 0.0 | 4.0 | 7296 | nan | 0.0 |
Framework versions
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0