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_all-1e-4
  results: []
---

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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3725
- Accuracy: 0.4068

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0248        | 1.0   | 19014  | 4.2224          | 0.3118   |
| 3.5712        | 2.0   | 38028  | 3.6678          | 0.3643   |
| 3.3951        | 3.0   | 57042  | 3.5394          | 0.3804   |
| 3.2986        | 4.0   | 76056  | 3.4576          | 0.3890   |
| 3.2317        | 5.0   | 95070  | 3.4292          | 0.3932   |
| 3.1832        | 6.0   | 114084 | 3.3886          | 0.3968   |
| 3.1425        | 7.0   | 133098 | 3.3770          | 0.3993   |
| 3.1062        | 8.0   | 152112 | 3.3730          | 0.4013   |
| 3.0733        | 9.0   | 171126 | 3.3467          | 0.4030   |
| 3.0496        | 10.0  | 190140 | 3.3508          | 0.4038   |
| 3.0261        | 11.0  | 209154 | 3.3645          | 0.4039   |
| 3.003         | 12.0  | 228168 | 3.3508          | 0.4050   |
| 2.9808        | 13.0  | 247182 | 3.3479          | 0.4059   |
| 2.9585        | 14.0  | 266196 | 3.3544          | 0.4059   |
| 2.9413        | 15.0  | 285210 | 3.3535          | 0.4063   |
| 2.9256        | 16.0  | 304224 | 3.3666          | 0.4058   |
| 2.9089        | 17.0  | 323238 | 3.3630          | 0.4067   |
| 2.8949        | 18.0  | 342252 | 3.3693          | 0.4064   |
| 2.8723        | 19.0  | 361266 | 3.3718          | 0.4067   |
| 2.8605        | 20.0  | 380280 | 3.3725          | 0.4068   |


### Framework versions

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