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-no_prototypical-seed_1024-3e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-no_prototypical-seed_1024-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4279
- Accuracy: 0.4089

## 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: 1024
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7361        | 1.0   | 18593  | 3.8827          | 0.3475   |
| 3.4337        | 2.0   | 37186  | 3.5995          | 0.3761   |
| 3.2881        | 3.0   | 55779  | 3.5111          | 0.3888   |
| 3.2073        | 4.0   | 74372  | 3.4411          | 0.3963   |
| 3.1484        | 5.0   | 92965  | 3.4323          | 0.3993   |
| 3.0999        | 6.0   | 111558 | 3.3979          | 0.4025   |
| 3.0593        | 7.0   | 130151 | 3.3955          | 0.4030   |
| 3.025         | 8.0   | 148744 | 3.3877          | 0.4052   |
| 3.0005        | 9.0   | 167337 | 3.3678          | 0.4066   |
| 2.9694        | 10.0  | 185930 | 3.3738          | 0.4071   |
| 2.9461        | 11.0  | 204523 | 3.3920          | 0.4077   |
| 2.9247        | 12.0  | 223116 | 3.3764          | 0.4079   |
| 2.9012        | 13.0  | 241709 | 3.3836          | 0.4080   |
| 2.8828        | 14.0  | 260302 | 3.3963          | 0.4082   |
| 2.8645        | 15.0  | 278895 | 3.4026          | 0.4084   |
| 2.8429        | 16.0  | 297488 | 3.3811          | 0.4093   |
| 2.8261        | 17.0  | 316081 | 3.4131          | 0.4089   |
| 2.811         | 18.0  | 334674 | 3.4207          | 0.4090   |
| 2.786         | 19.0  | 353267 | 3.4239          | 0.4090   |
| 2.7687        | 20.0  | 371860 | 3.4279          | 0.4089   |


### Framework versions

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