---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: babylm-unablated_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-unablated_seed-42_1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0094
- Accuracy: 0.4211

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 6.1639        | 0.9999  | 1779  | 4.2644          | 0.3043   |
| 4.0418        | 1.9997  | 3558  | 3.7367          | 0.3467   |
| 3.6074        | 2.9996  | 5337  | 3.4761          | 0.3701   |
| 3.3836        | 4.0     | 7117  | 3.3380          | 0.3832   |
| 3.2939        | 4.9999  | 8896  | 3.2569          | 0.3913   |
| 3.1911        | 5.9997  | 10675 | 3.2081          | 0.3959   |
| 3.1276        | 6.9996  | 12454 | 3.1743          | 0.3993   |
| 3.0834        | 8.0     | 14234 | 3.1533          | 0.4014   |
| 3.0525        | 8.9999  | 16013 | 3.1344          | 0.4033   |
| 3.0036        | 9.9997  | 17792 | 3.1221          | 0.4050   |
| 2.9901        | 10.9996 | 19571 | 3.1156          | 0.4056   |
| 2.9798        | 12.0    | 21351 | 3.1083          | 0.4069   |
| 2.9729        | 12.9999 | 23130 | 3.1015          | 0.4074   |
| 2.9356        | 13.9997 | 24909 | 3.0997          | 0.4076   |
| 2.9282        | 14.9996 | 26688 | 3.0948          | 0.4084   |
| 2.9332        | 16.0    | 28468 | 3.0928          | 0.4090   |
| 2.9346        | 16.9999 | 30247 | 3.0900          | 0.4090   |
| 2.9394        | 17.9997 | 32026 | 3.0874          | 0.4097   |
| 2.8743        | 18.9996 | 33805 | 3.0350          | 0.4163   |
| 2.729         | 19.9972 | 35580 | 3.0094          | 0.4211   |


### Framework versions

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