---
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: 0.0
---

<!-- 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. -->

# 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