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-keys_to_pipps_2913-1e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-keys_to_pipps_2913-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3547
- Accuracy: 0.4065

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0518        | 1.0   | 18629  | 4.2148          | 0.3103   |
| 3.5731        | 2.0   | 37258  | 3.7002          | 0.3628   |
| 3.3939        | 3.0   | 55887  | 3.5428          | 0.3792   |
| 3.2906        | 4.0   | 74516  | 3.4673          | 0.3886   |
| 3.2245        | 5.0   | 93145  | 3.4056          | 0.3939   |
| 3.1727        | 6.0   | 111774 | 3.4006          | 0.3969   |
| 3.1301        | 7.0   | 130403 | 3.3740          | 0.3995   |
| 3.0954        | 8.0   | 149032 | 3.3669          | 0.4005   |
| 3.0675        | 9.0   | 167661 | 3.3578          | 0.4022   |
| 3.0422        | 10.0  | 186290 | 3.3458          | 0.4028   |
| 3.011         | 11.0  | 204919 | 3.3474          | 0.4041   |
| 2.9957        | 12.0  | 223548 | 3.3452          | 0.4046   |
| 2.9729        | 13.0  | 242177 | 3.3344          | 0.4055   |
| 2.9501        | 14.0  | 260806 | 3.3348          | 0.4064   |
| 2.9303        | 15.0  | 279435 | 3.3385          | 0.4056   |
| 2.91          | 16.0  | 298064 | 3.3449          | 0.4063   |
| 2.8962        | 17.0  | 316693 | 3.3472          | 0.4060   |
| 2.8792        | 18.0  | 335322 | 3.3533          | 0.4061   |
| 2.867         | 19.0  | 353951 | 3.3526          | 0.4063   |
| 2.8451        | 20.0  | 372580 | 3.3547          | 0.4065   |


### Framework versions

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