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

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# smolm-autoreg-bpe-counterfactual-babylm-pipps_and_keys_to_it_all_10k-3e-4

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3416
- Accuracy: 0.4114

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 3.7439        | 1.0   | 18844  | 3.8602          | 0.3475   |
| 3.4436        | 2.0   | 37688  | 3.5370          | 0.3777   |
| 3.2979        | 3.0   | 56532  | 3.3990          | 0.3927   |
| 3.2129        | 4.0   | 75376  | 3.3575          | 0.3992   |
| 3.1532        | 5.0   | 94220  | 3.3300          | 0.4014   |
| 3.1098        | 6.0   | 113064 | 3.3082          | 0.4056   |
| 3.0691        | 7.0   | 131908 | 3.2938          | 0.4069   |
| 3.042         | 8.0   | 150752 | 3.2975          | 0.4077   |
| 3.0098        | 9.0   | 169596 | 3.2770          | 0.4112   |
| 2.9839        | 10.0  | 188440 | 3.2937          | 0.4114   |
| 2.9607        | 11.0  | 207284 | 3.2879          | 0.4114   |
| 2.94          | 12.0  | 226128 | 3.2938          | 0.4115   |
| 2.9154        | 13.0  | 244972 | 3.3142          | 0.4101   |
| 2.8939        | 14.0  | 263816 | 3.2931          | 0.4124   |
| 2.8771        | 15.0  | 282660 | 3.3156          | 0.4114   |
| 2.8566        | 16.0  | 301504 | 3.3241          | 0.4112   |
| 2.8321        | 17.0  | 320348 | 3.3228          | 0.4120   |
| 2.8173        | 18.0  | 339192 | 3.3250          | 0.4116   |
| 2.7989        | 19.0  | 358036 | 3.3380          | 0.4114   |
| 2.7807        | 20.0  | 376880 | 3.3416          | 0.4114   |


### Framework versions

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