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_1024-1e-3
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-prototypical_only-seed_1024-1e-3

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4236
- Accuracy: 0.4094

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.6017        | 1.0   | 18593  | 3.7658          | 0.3592   |
| 3.3874        | 2.0   | 37186  | 3.5405          | 0.3815   |
| 3.2555        | 3.0   | 55779  | 3.4758          | 0.3912   |
| 3.1793        | 4.0   | 74372  | 3.4088          | 0.3984   |
| 3.1212        | 5.0   | 92965  | 3.3783          | 0.4027   |
| 3.0824        | 6.0   | 111558 | 3.3743          | 0.4037   |
| 3.0462        | 7.0   | 130151 | 3.3601          | 0.4053   |
| 3.0111        | 8.0   | 148744 | 3.3562          | 0.4076   |
| 2.9857        | 9.0   | 167337 | 3.3569          | 0.4082   |
| 2.9583        | 10.0  | 185930 | 3.3588          | 0.4082   |
| 2.9348        | 11.0  | 204523 | 3.3739          | 0.4082   |
| 2.9147        | 12.0  | 223116 | 3.3598          | 0.4089   |
| 2.8894        | 13.0  | 241709 | 3.3692          | 0.4096   |
| 2.8693        | 14.0  | 260302 | 3.3894          | 0.4097   |
| 2.8501        | 15.0  | 278895 | 3.3825          | 0.4095   |
| 2.8295        | 16.0  | 297488 | 3.3944          | 0.4096   |
| 2.8193        | 17.0  | 316081 | 3.3963          | 0.4099   |
| 2.7951        | 18.0  | 334674 | 3.4111          | 0.4095   |
| 2.773         | 19.0  | 353267 | 3.4123          | 0.4098   |
| 2.7557        | 20.0  | 371860 | 3.4236          | 0.4094   |


### Framework versions

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