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

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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4164
- Accuracy: 0.4086

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7379        | 1.0   | 18593  | 3.8927          | 0.3460   |
| 3.4306        | 2.0   | 37186  | 3.6246          | 0.3756   |
| 3.2928        | 3.0   | 55779  | 3.5079          | 0.3896   |
| 3.2052        | 4.0   | 74372  | 3.4666          | 0.3954   |
| 3.1506        | 5.0   | 92965  | 3.4243          | 0.3988   |
| 3.0987        | 6.0   | 111558 | 3.4049          | 0.4024   |
| 3.0619        | 7.0   | 130151 | 3.4011          | 0.4031   |
| 3.0302        | 8.0   | 148744 | 3.3735          | 0.4048   |
| 3.0016        | 9.0   | 167337 | 3.3734          | 0.4064   |
| 2.9716        | 10.0  | 185930 | 3.3907          | 0.4059   |
| 2.9474        | 11.0  | 204523 | 3.3870          | 0.4074   |
| 2.9295        | 12.0  | 223116 | 3.3856          | 0.4074   |
| 2.9058        | 13.0  | 241709 | 3.4026          | 0.4073   |
| 2.8865        | 14.0  | 260302 | 3.3852          | 0.4080   |
| 2.8616        | 15.0  | 278895 | 3.3852          | 0.4087   |
| 2.8444        | 16.0  | 297488 | 3.3973          | 0.4082   |
| 2.8241        | 17.0  | 316081 | 3.3967          | 0.4087   |
| 2.8071        | 18.0  | 334674 | 3.4008          | 0.4089   |
| 2.7912        | 19.0  | 353267 | 3.4131          | 0.4085   |
| 2.7691        | 20.0  | 371860 | 3.4164          | 0.4086   |


### Framework versions

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