transformers tensorboard 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-pipps_and_keys_to_it_all_10k-1e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_10k-1e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3595
- Accuracy: 0.4079

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.056         | 1.0   | 18844  | 4.2267          | 0.3114   |
| 3.5768        | 2.0   | 37688  | 3.6840          | 0.3636   |
| 3.3965        | 3.0   | 56532  | 3.5042          | 0.3817   |
| 3.2965        | 4.0   | 75376  | 3.4624          | 0.3893   |
| 3.229         | 5.0   | 94220  | 3.4083          | 0.3940   |
| 3.1807        | 6.0   | 113064 | 3.3809          | 0.3974   |
| 3.1371        | 7.0   | 131908 | 3.3657          | 0.3999   |
| 3.1078        | 8.0   | 150752 | 3.3597          | 0.4015   |
| 3.0741        | 9.0   | 169596 | 3.3538          | 0.4030   |
| 3.0472        | 10.0  | 188440 | 3.3511          | 0.4047   |
| 3.0234        | 11.0  | 207284 | 3.3451          | 0.4048   |
| 3.0026        | 12.0  | 226128 | 3.3451          | 0.4062   |
| 2.9792        | 13.0  | 244972 | 3.3464          | 0.4066   |
| 2.9576        | 14.0  | 263816 | 3.3389          | 0.4073   |
| 2.9415        | 15.0  | 282660 | 3.3515          | 0.4072   |
| 2.9218        | 16.0  | 301504 | 3.3501          | 0.4073   |
| 2.8992        | 17.0  | 320348 | 3.3496          | 0.4077   |
| 2.8867        | 18.0  | 339192 | 3.3493          | 0.4078   |
| 2.8695        | 19.0  | 358036 | 3.3611          | 0.4077   |
| 2.8538        | 20.0  | 376880 | 3.3595          | 0.4079   |


### Framework versions

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