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-prototypical_only-seed_211-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-prototypical_only-seed_211-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3871
- Accuracy: 0.4118

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6086        | 1.0   | 18593  | 3.7866          | 0.3570   |
| 3.3876        | 2.0   | 37186  | 3.5895          | 0.3814   |
| 3.2566        | 3.0   | 55779  | 3.4826          | 0.3920   |
| 3.1766        | 4.0   | 74372  | 3.4033          | 0.3996   |
| 3.1188        | 5.0   | 92965  | 3.4073          | 0.4015   |
| 3.0796        | 6.0   | 111558 | 3.3821          | 0.4045   |
| 3.0412        | 7.0   | 130151 | 3.3505          | 0.4082   |
| 3.0092        | 8.0   | 148744 | 3.3533          | 0.4078   |
| 2.9817        | 9.0   | 167337 | 3.3516          | 0.4085   |
| 2.9541        | 10.0  | 185930 | 3.3482          | 0.4095   |
| 2.9354        | 11.0  | 204523 | 3.3638          | 0.4100   |
| 2.9126        | 12.0  | 223116 | 3.3272          | 0.4119   |
| 2.8898        | 13.0  | 241709 | 3.3513          | 0.4110   |
| 2.8735        | 14.0  | 260302 | 3.3416          | 0.4124   |
| 2.8536        | 15.0  | 278895 | 3.3536          | 0.4122   |
| 2.8328        | 16.0  | 297488 | 3.3505          | 0.4125   |
| 2.8111        | 17.0  | 316081 | 3.3719          | 0.4116   |
| 2.7953        | 18.0  | 334674 | 3.3815          | 0.4117   |
| 2.7733        | 19.0  | 353267 | 3.3844          | 0.4118   |
| 2.7618        | 20.0  | 371860 | 3.3871          | 0.4118   |


### Framework versions

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