---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: babylm_seed-42_1e-3
  results: []
---

<!-- 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. -->

# babylm_seed-42_1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0164
- Accuracy: 0.4206

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 6.1715        | 1.0   | 1803  | 4.2500          | 0.3062   |
| 4.0426        | 2.0   | 3606  | 3.7214          | 0.3486   |
| 3.5775        | 3.0   | 5409  | 3.4693          | 0.3724   |
| 3.3494        | 4.0   | 7212  | 3.3348          | 0.3847   |
| 3.2229        | 5.0   | 9015  | 3.2595          | 0.3912   |
| 3.1569        | 6.0   | 10818 | 3.2099          | 0.3959   |
| 3.0911        | 7.0   | 12621 | 3.1769          | 0.3996   |
| 3.0487        | 8.0   | 14424 | 3.1536          | 0.4015   |
| 3.0168        | 9.0   | 16227 | 3.1386          | 0.4034   |
| 2.9932        | 10.0  | 18030 | 3.1280          | 0.4049   |
| 2.948         | 11.0  | 19833 | 3.1185          | 0.4058   |
| 2.9377        | 12.0  | 21636 | 3.1100          | 0.4068   |
| 2.9329        | 13.0  | 23439 | 3.1038          | 0.4075   |
| 2.928         | 14.0  | 25242 | 3.1013          | 0.4081   |
| 2.9258        | 15.0  | 27045 | 3.0978          | 0.4083   |
| 2.8846        | 16.0  | 28848 | 3.0946          | 0.4086   |
| 2.8898        | 17.0  | 30651 | 3.0941          | 0.4088   |
| 2.8957        | 18.0  | 32454 | 3.0807          | 0.4106   |
| 2.8247        | 19.0  | 34257 | 3.0345          | 0.4165   |
| 2.6757        | 20.0  | 36060 | 3.0164          | 0.4206   |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 2.19.1
- Tokenizers 0.20.0