---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: BABYLM_5000_41
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# BABYLM_5000_41

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3799
- Accuracy: 0.3821

## 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: 0.0006
- train_batch_size: 32
- eval_batch_size: 32
- seed: 41
- optimizer: Use 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: 1000
- num_epochs: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.1021        | 1.0   | 1135  | 4.1783          | 0.2970   |
| 0.9898        | 2.0   | 2270  | 4.0657          | 0.3065   |
| 0.9617        | 3.0   | 3405  | 3.9151          | 0.3191   |
| 0.9291        | 4.0   | 4540  | 3.7639          | 0.3347   |
| 0.8903        | 5.0   | 5675  | 3.6331          | 0.3492   |
| 0.8546        | 6.0   | 6810  | 3.5462          | 0.3599   |
| 0.8321        | 7.0   | 7945  | 3.4829          | 0.3680   |
| 0.798         | 8.0   | 9080  | 3.4338          | 0.3742   |
| 0.7836        | 9.0   | 10215 | 3.4001          | 0.3786   |
| 0.7747        | 10.0  | 11350 | 3.3799          | 0.3821   |


### Framework versions

- Transformers 4.51.3
- Pytorch 2.5.1+cu121
- Datasets 3.6.0
- Tokenizers 0.21.1