---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_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. -->

# opt-babylm2-rewritten-clean-spacy_random-removal-num-adj-earlystop-bpe_seed-42_1e-3

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6849
- Accuracy: 0.4784

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Accuracy |
|:-------------:|:-------:|:-----:|:---------------:|:--------:|
| 4.0965        | 0.9997  | 2241  | 3.8077          | 0.3617   |
| 3.438         | 1.9997  | 4482  | 3.2954          | 0.4103   |
| 3.124         | 2.9997  | 6723  | 3.0855          | 0.4310   |
| 2.964         | 3.9997  | 8964  | 2.9821          | 0.4414   |
| 2.8431        | 4.9997  | 11205 | 2.9217          | 0.4475   |
| 2.7861        | 5.9997  | 13446 | 2.8828          | 0.4518   |
| 2.7474        | 6.9997  | 15687 | 2.8555          | 0.4548   |
| 2.7083        | 7.9997  | 17928 | 2.8363          | 0.4568   |
| 2.6908        | 8.9997  | 20169 | 2.8231          | 0.4584   |
| 2.6704        | 9.9997  | 22410 | 2.8133          | 0.4595   |
| 2.6536        | 10.9997 | 24651 | 2.8057          | 0.4603   |
| 2.6385        | 11.9997 | 26892 | 2.7991          | 0.4613   |
| 2.6417        | 12.9997 | 29133 | 2.7933          | 0.4621   |
| 2.6348        | 13.9997 | 31374 | 2.7883          | 0.4627   |
| 2.6156        | 14.9997 | 33615 | 2.7718          | 0.4648   |
| 2.5708        | 15.9997 | 35856 | 2.7449          | 0.4683   |
| 2.5219        | 16.9997 | 38097 | 2.7226          | 0.4711   |
| 2.4669        | 17.9997 | 40338 | 2.7019          | 0.4743   |
| 2.4023        | 18.9997 | 42579 | 2.6891          | 0.4769   |
| 2.3317        | 19.9997 | 44820 | 2.6849          | 0.4784   |


### Framework versions

- Transformers 4.48.0
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.21.0