---
library_name: transformers
license: mit
base_model: babylm/ltgbert-10m-2024
tags:
- generated_from_trainer
model-index:
- name: Ltg_bert
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Ltg_bert

This model is a fine-tuned version of [babylm/ltgbert-10m-2024](https://huggingface.co/babylm/ltgbert-10m-2024) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 0.0001        | 0.9997 | 2779  | 0.0000          |
| 0.0           | 1.9997 | 5559  | 0.0000          |
| 0.0           | 2.9998 | 8339  | 0.0000          |
| 0.0           | 3.9998 | 11119 | 0.0000          |
| 0.0           | 4.9984 | 13895 | 0.0000          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3