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-adj_num_freq_balanced-seed_1024-1e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-adj_num_freq_balanced-seed_1024-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4789
- Accuracy: 0.4021

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0508        | 1.0   | 18629  | 4.2865          | 0.3074   |
| 3.5631        | 2.0   | 37258  | 3.7670          | 0.3600   |
| 3.387         | 3.0   | 55887  | 3.6088          | 0.3779   |
| 3.2838        | 4.0   | 74516  | 3.5356          | 0.3856   |
| 3.2141        | 5.0   | 93145  | 3.4872          | 0.3914   |
| 3.1605        | 6.0   | 111774 | 3.4762          | 0.3930   |
| 3.1134        | 7.0   | 130403 | 3.4605          | 0.3958   |
| 3.0807        | 8.0   | 149032 | 3.4343          | 0.3978   |
| 3.0435        | 9.0   | 167661 | 3.4517          | 0.3985   |
| 3.017         | 10.0  | 186290 | 3.4361          | 0.4001   |
| 2.9929        | 11.0  | 204919 | 3.4535          | 0.4003   |
| 2.9723        | 12.0  | 223548 | 3.4509          | 0.4010   |
| 2.9477        | 13.0  | 242177 | 3.4610          | 0.4011   |
| 2.9248        | 14.0  | 260806 | 3.4676          | 0.4013   |
| 2.901         | 15.0  | 279435 | 3.4595          | 0.4016   |
| 2.8845        | 16.0  | 298064 | 3.4641          | 0.4017   |
| 2.8637        | 17.0  | 316693 | 3.4624          | 0.4018   |
| 2.851         | 18.0  | 335322 | 3.4731          | 0.4018   |
| 2.8298        | 19.0  | 353951 | 3.4763          | 0.4020   |
| 2.817         | 20.0  | 372580 | 3.4789          | 0.4021   |


### Framework versions

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