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-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_removal-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4010
- Accuracy: 0.4070

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0516        | 1.0   | 18593  | 4.2479          | 0.3090   |
| 3.563         | 2.0   | 37186  | 3.7350          | 0.3623   |
| 3.3907        | 3.0   | 55779  | 3.5679          | 0.3804   |
| 3.2888        | 4.0   | 74372  | 3.5048          | 0.3887   |
| 3.2264        | 5.0   | 92965  | 3.4556          | 0.3938   |
| 3.1696        | 6.0   | 111558 | 3.4194          | 0.3977   |
| 3.1293        | 7.0   | 130151 | 3.4060          | 0.3991   |
| 3.0959        | 8.0   | 148744 | 3.3847          | 0.4017   |
| 3.0657        | 9.0   | 167337 | 3.3943          | 0.4026   |
| 3.0355        | 10.0  | 185930 | 3.3910          | 0.4034   |
| 3.0113        | 11.0  | 204523 | 3.3851          | 0.4043   |
| 2.9931        | 12.0  | 223116 | 3.3938          | 0.4046   |
| 2.9697        | 13.0  | 241709 | 3.3959          | 0.4051   |
| 2.9506        | 14.0  | 260302 | 3.3985          | 0.4053   |
| 2.9269        | 15.0  | 278895 | 3.3832          | 0.4063   |
| 2.9112        | 16.0  | 297488 | 3.3895          | 0.4063   |
| 2.8929        | 17.0  | 316081 | 3.3863          | 0.4070   |
| 2.8771        | 18.0  | 334674 | 3.3995          | 0.4067   |
| 2.8641        | 19.0  | 353267 | 3.4000          | 0.4069   |
| 2.8444        | 20.0  | 371860 | 3.4010          | 0.4070   |


### Framework versions

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