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_and_keys_to_it_all_removal-1e-3
  results: []
---

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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4044
- Accuracy: 0.4121

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6033        | 1.0   | 18594  | 3.7617          | 0.3597   |
| 3.3871        | 2.0   | 37188  | 3.5764          | 0.3799   |
| 3.2586        | 3.0   | 55782  | 3.4624          | 0.3930   |
| 3.1754        | 4.0   | 74376  | 3.4106          | 0.3990   |
| 3.1217        | 5.0   | 92970  | 3.3969          | 0.4018   |
| 3.0787        | 6.0   | 111564 | 3.3827          | 0.4039   |
| 3.0425        | 7.0   | 130158 | 3.3784          | 0.4064   |
| 3.0097        | 8.0   | 148752 | 3.3697          | 0.4087   |
| 2.9897        | 9.0   | 167346 | 3.3604          | 0.4095   |
| 2.9594        | 10.0  | 185940 | 3.3522          | 0.4102   |
| 2.9365        | 11.0  | 204534 | 3.3592          | 0.4107   |
| 2.9155        | 12.0  | 223128 | 3.3696          | 0.4101   |
| 2.8933        | 13.0  | 241722 | 3.3536          | 0.4123   |
| 2.8735        | 14.0  | 260316 | 3.3642          | 0.4126   |
| 2.8504        | 15.0  | 278910 | 3.3732          | 0.4118   |
| 2.8335        | 16.0  | 297504 | 3.3768          | 0.4123   |
| 2.8118        | 17.0  | 316098 | 3.3824          | 0.4121   |
| 2.7972        | 18.0  | 334692 | 3.3803          | 0.4125   |
| 2.7771        | 19.0  | 353286 | 3.3991          | 0.4119   |
| 2.7615        | 20.0  | 371880 | 3.4044          | 0.4121   |


### Framework versions

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