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

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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4223
- Accuracy: 0.4090

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7373        | 1.0   | 18601  | 3.8912          | 0.3461   |
| 3.4303        | 2.0   | 37202  | 3.6113          | 0.3753   |
| 3.2911        | 3.0   | 55803  | 3.5000          | 0.3887   |
| 3.2022        | 4.0   | 74404  | 3.4401          | 0.3948   |
| 3.1405        | 5.0   | 93005  | 3.4115          | 0.3997   |
| 3.0947        | 6.0   | 111606 | 3.4008          | 0.4018   |
| 3.0556        | 7.0   | 130207 | 3.3620          | 0.4059   |
| 3.0233        | 8.0   | 148808 | 3.3837          | 0.4046   |
| 2.995         | 9.0   | 167409 | 3.3666          | 0.4067   |
| 2.9681        | 10.0  | 186010 | 3.3656          | 0.4068   |
| 2.9463        | 11.0  | 204611 | 3.3693          | 0.4080   |
| 2.9223        | 12.0  | 223212 | 3.3692          | 0.4084   |
| 2.8985        | 13.0  | 241813 | 3.3757          | 0.4082   |
| 2.8758        | 14.0  | 260414 | 3.3806          | 0.4091   |
| 2.8604        | 15.0  | 279015 | 3.3988          | 0.4083   |
| 2.836         | 16.0  | 297616 | 3.3930          | 0.4090   |
| 2.8214        | 17.0  | 316217 | 3.3969          | 0.4091   |
| 2.7994        | 18.0  | 334818 | 3.4061          | 0.4095   |
| 2.7795        | 19.0  | 353419 | 3.4126          | 0.4090   |
| 2.7592        | 20.0  | 372020 | 3.4223          | 0.4090   |


### Framework versions

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