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_10k-3e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_10k-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3363
- Accuracy: 0.4103

## 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: 0.0003
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7369        | 1.0   | 18720  | 3.8674          | 0.3466   |
| 3.4364        | 2.0   | 37440  | 3.5587          | 0.3765   |
| 3.2951        | 3.0   | 56160  | 3.4572          | 0.3899   |
| 3.2109        | 4.0   | 74880  | 3.3845          | 0.3966   |
| 3.1529        | 5.0   | 93600  | 3.3601          | 0.4002   |
| 3.1047        | 6.0   | 112320 | 3.3206          | 0.4031   |
| 3.0672        | 7.0   | 131040 | 3.3101          | 0.4060   |
| 3.0309        | 8.0   | 149760 | 3.3001          | 0.4068   |
| 3.0074        | 9.0   | 168480 | 3.3187          | 0.4071   |
| 2.9719        | 10.0  | 187200 | 3.2961          | 0.4085   |
| 2.9554        | 11.0  | 205920 | 3.2881          | 0.4098   |
| 2.9304        | 12.0  | 224640 | 3.3115          | 0.4086   |
| 2.9115        | 13.0  | 243360 | 3.3158          | 0.4094   |
| 2.8917        | 14.0  | 262080 | 3.2929          | 0.4107   |
| 2.8692        | 15.0  | 280800 | 3.3107          | 0.4105   |
| 2.8477        | 16.0  | 299520 | 3.3204          | 0.4102   |
| 2.8289        | 17.0  | 318240 | 3.3173          | 0.4099   |
| 2.8132        | 18.0  | 336960 | 3.3293          | 0.4102   |
| 2.7963        | 19.0  | 355680 | 3.3299          | 0.4104   |
| 2.7765        | 20.0  | 374400 | 3.3363          | 0.4103   |


### Framework versions

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