transformers tensorboard safetensors opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: smolm-autoreg-bpe-counterfactual-babylm-pipps_removal-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_removal-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3861
- Accuracy: 0.4130

## 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
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6027        | 1.0   | 18593  | 3.7580          | 0.3585   |
| 3.3823        | 2.0   | 37186  | 3.6051          | 0.3782   |
| 3.258         | 3.0   | 55779  | 3.4484          | 0.3939   |
| 3.1781        | 4.0   | 74372  | 3.4280          | 0.3980   |
| 3.1273        | 5.0   | 92965  | 3.3933          | 0.4016   |
| 3.0793        | 6.0   | 111558 | 3.3539          | 0.4054   |
| 3.0456        | 7.0   | 130151 | 3.3693          | 0.4064   |
| 3.0151        | 8.0   | 148744 | 3.3412          | 0.4081   |
| 2.9872        | 9.0   | 167337 | 3.3581          | 0.4086   |
| 2.9592        | 10.0  | 185930 | 3.3537          | 0.4096   |
| 2.936         | 11.0  | 204523 | 3.3608          | 0.4102   |
| 2.9186        | 12.0  | 223116 | 3.3476          | 0.4111   |
| 2.8954        | 13.0  | 241709 | 3.3533          | 0.4131   |
| 2.8764        | 14.0  | 260302 | 3.3542          | 0.4124   |
| 2.8517        | 15.0  | 278895 | 3.3500          | 0.4131   |
| 2.8349        | 16.0  | 297488 | 3.3591          | 0.4129   |
| 2.8145        | 17.0  | 316081 | 3.3652          | 0.4129   |
| 2.7966        | 18.0  | 334674 | 3.3785          | 0.4125   |
| 2.7814        | 19.0  | 353267 | 3.3842          | 0.4131   |
| 2.7592        | 20.0  | 371860 | 3.3861          | 0.4130   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1
