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-keys_to_pipps_2913-3e-4
  results: []
---

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# smolm-autoreg-bpe-counterfactual-babylm-keys_to_pipps_2913-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3415
- Accuracy: 0.4097

## 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: 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7373        | 1.0   | 18629  | 3.8506          | 0.3468   |
| 3.4427        | 2.0   | 37258  | 3.5480          | 0.3755   |
| 3.2965        | 3.0   | 55887  | 3.4336          | 0.3889   |
| 3.2072        | 4.0   | 74516  | 3.3658          | 0.3968   |
| 3.1486        | 5.0   | 93145  | 3.3467          | 0.4004   |
| 3.1014        | 6.0   | 111774 | 3.3196          | 0.4028   |
| 3.0614        | 7.0   | 130403 | 3.3317          | 0.4041   |
| 3.0291        | 8.0   | 149032 | 3.3085          | 0.4056   |
| 3.0022        | 9.0   | 167661 | 3.2901          | 0.4081   |
| 2.978         | 10.0  | 186290 | 3.2869          | 0.4087   |
| 2.9473        | 11.0  | 204919 | 3.3076          | 0.4083   |
| 2.9317        | 12.0  | 223548 | 3.3017          | 0.4090   |
| 2.9087        | 13.0  | 242177 | 3.2993          | 0.4088   |
| 2.8854        | 14.0  | 260806 | 3.3109          | 0.4096   |
| 2.8647        | 15.0  | 279435 | 3.3189          | 0.4091   |
| 2.8436        | 16.0  | 298064 | 3.3179          | 0.4100   |
| 2.828         | 17.0  | 316693 | 3.3213          | 0.4103   |
| 2.8085        | 18.0  | 335322 | 3.3345          | 0.4096   |
| 2.7947        | 19.0  | 353951 | 3.3383          | 0.4099   |
| 2.7703        | 20.0  | 372580 | 3.3415          | 0.4097   |


### Framework versions

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