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_10k-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_10k-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3502
- Accuracy: 0.4102

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6157        | 1.0   | 18844  | 3.7143          | 0.3599   |
| 3.3979        | 2.0   | 37688  | 3.5062          | 0.3804   |
| 3.2663        | 3.0   | 56532  | 3.3950          | 0.3932   |
| 3.1887        | 4.0   | 75376  | 3.3694          | 0.3977   |
| 3.1328        | 5.0   | 94220  | 3.3361          | 0.4009   |
| 3.0925        | 6.0   | 113064 | 3.3236          | 0.4038   |
| 3.0537        | 7.0   | 131908 | 3.3165          | 0.4050   |
| 3.0289        | 8.0   | 150752 | 3.3142          | 0.4063   |
| 2.9979        | 9.0   | 169596 | 3.2959          | 0.4083   |
| 2.9734        | 10.0  | 188440 | 3.2976          | 0.4096   |
| 2.9501        | 11.0  | 207284 | 3.3026          | 0.4094   |
| 2.9302        | 12.0  | 226128 | 3.3036          | 0.4097   |
| 2.9067        | 13.0  | 244972 | 3.3101          | 0.4103   |
| 2.885         | 14.0  | 263816 | 3.3063          | 0.4106   |
| 2.8686        | 15.0  | 282660 | 3.3195          | 0.4098   |
| 2.8474        | 16.0  | 301504 | 3.3275          | 0.4106   |
| 2.8235        | 17.0  | 320348 | 3.3297          | 0.4108   |
| 2.8091        | 18.0  | 339192 | 3.3385          | 0.4105   |
| 2.7899        | 19.0  | 358036 | 3.3433          | 0.4102   |
| 2.7718        | 20.0  | 376880 | 3.3502          | 0.4102   |


### Framework versions

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