---
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: 3.0130
- Accuracy: 0.4207

## 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 |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 6.173         | 0.9997  | 1802  | 4.2465          | 0.3068   |
| 4.0432        | 2.0     | 3605  | 3.7284          | 0.3475   |
| 3.6166        | 2.9997  | 5407  | 3.4711          | 0.3707   |
| 3.3909        | 4.0     | 7210  | 3.3322          | 0.3836   |
| 3.2635        | 4.9997  | 9012  | 3.2560          | 0.3913   |
| 3.1946        | 6.0     | 10815 | 3.2042          | 0.3959   |
| 3.1312        | 6.9997  | 12617 | 3.1730          | 0.3994   |
| 3.0872        | 8.0     | 14420 | 3.1528          | 0.4014   |
| 3.0554        | 8.9997  | 16222 | 3.1347          | 0.4037   |
| 3.0338        | 10.0    | 18025 | 3.1247          | 0.4043   |
| 2.9873        | 10.9997 | 19827 | 3.1119          | 0.4059   |
| 2.9773        | 12.0    | 21630 | 3.1093          | 0.4065   |
| 2.9714        | 12.9997 | 23432 | 3.1020          | 0.4077   |
| 2.9667        | 14.0    | 25235 | 3.0977          | 0.4077   |
| 2.9621        | 14.9997 | 27037 | 3.0944          | 0.4085   |
| 2.9239        | 16.0    | 28840 | 3.0954          | 0.4082   |
| 2.9295        | 16.9997 | 30642 | 3.0936          | 0.4085   |
| 2.9329        | 18.0    | 32445 | 3.0771          | 0.4106   |
| 2.8605        | 18.9997 | 34247 | 3.0338          | 0.4164   |
| 2.7104        | 19.9945 | 36040 | 3.0130          | 0.4207   |


### Framework versions

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