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# smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_removal-seed_211-1e-3

This model was trained from scratch on the kanishka/counterfactual-babylm-pipps_and_keys_to_it_all_removal dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4342
- Accuracy: 0.4100

## 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: 211
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.5982        | 1.0   | 18594  | 3.7814          | 0.3600   |
| 3.3842        | 2.0   | 37188  | 3.5917          | 0.3792   |
| 3.2578        | 3.0   | 55782  | 3.4820          | 0.3923   |
| 3.181         | 4.0   | 74376  | 3.4444          | 0.3975   |
| 3.127         | 5.0   | 92970  | 3.4062          | 0.4023   |
| 3.0853        | 6.0   | 111564 | 3.3876          | 0.4042   |
| 3.0444        | 7.0   | 130158 | 3.3845          | 0.4051   |
| 3.0164        | 8.0   | 148752 | 3.3997          | 0.4067   |
| 2.9875        | 9.0   | 167346 | 3.3890          | 0.4077   |
| 2.9637        | 10.0  | 185940 | 3.3966          | 0.4072   |
| 2.9414        | 11.0  | 204534 | 3.3861          | 0.4084   |
| 2.9102        | 12.0  | 223128 | 3.3732          | 0.4095   |
| 2.8918        | 13.0  | 241722 | 3.3955          | 0.4091   |
| 2.8738        | 14.0  | 260316 | 3.3978          | 0.4096   |
| 2.8518        | 15.0  | 278910 | 3.3918          | 0.4102   |
| 2.8325        | 16.0  | 297504 | 3.4144          | 0.4098   |
| 2.8187        | 17.0  | 316098 | 3.4153          | 0.4102   |
| 2.7944        | 18.0  | 334692 | 3.4143          | 0.4103   |
| 2.7783        | 19.0  | 353286 | 3.4294          | 0.4100   |
| 2.7617        | 20.0  | 371880 | 3.4342          | 0.4100   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1

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transformers tensorboard safetensors opt text-generation generated_from_trainer dataset:kanishka/counterfactual-babylm-pipps_and_keys_to_it_all_removal model-index autotrain_compatible endpoints_compatible text-generation-inference region:us