transformers 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-indef_articles_with_pl_nouns-removal-seed_211-3e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns-removal-seed_211-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4107
- Accuracy: 0.4087

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7404        | 1.0   | 18601  | 3.9132          | 0.3454   |
| 3.4354        | 2.0   | 37202  | 3.6155          | 0.3762   |
| 3.2939        | 3.0   | 55803  | 3.4939          | 0.3879   |
| 3.2047        | 4.0   | 74404  | 3.4313          | 0.3956   |
| 3.1443        | 5.0   | 93005  | 3.4117          | 0.3997   |
| 3.098         | 6.0   | 111606 | 3.3664          | 0.4026   |
| 3.0616        | 7.0   | 130207 | 3.3744          | 0.4046   |
| 3.0231        | 8.0   | 148808 | 3.3724          | 0.4056   |
| 3.0004        | 9.0   | 167409 | 3.3821          | 0.4056   |
| 2.9698        | 10.0  | 186010 | 3.3744          | 0.4072   |
| 2.9434        | 11.0  | 204611 | 3.3652          | 0.4073   |
| 2.9209        | 12.0  | 223212 | 3.3815          | 0.4078   |
| 2.9014        | 13.0  | 241813 | 3.3690          | 0.4084   |
| 2.8775        | 14.0  | 260414 | 3.3742          | 0.4085   |
| 2.8614        | 15.0  | 279015 | 3.3830          | 0.4089   |
| 2.8414        | 16.0  | 297616 | 3.3859          | 0.4088   |
| 2.818         | 17.0  | 316217 | 3.3849          | 0.4092   |
| 2.799         | 18.0  | 334818 | 3.4010          | 0.4089   |
| 2.7824        | 19.0  | 353419 | 3.4067          | 0.4085   |
| 2.7677        | 20.0  | 372020 | 3.4107          | 0.4087   |


### Framework versions

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