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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

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

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4390
- Accuracy: 0.4055

## 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.0481        | 1.0   | 18594  | 4.2544          | 0.3095   |
| 3.5685        | 2.0   | 37188  | 3.7575          | 0.3618   |
| 3.3921        | 3.0   | 55782  | 3.5921          | 0.3800   |
| 3.2877        | 4.0   | 74376  | 3.5039          | 0.3885   |
| 3.2224        | 5.0   | 92970  | 3.4844          | 0.3928   |
| 3.1713        | 6.0   | 111564 | 3.4503          | 0.3958   |
| 3.1298        | 7.0   | 130158 | 3.4453          | 0.3981   |
| 3.0925        | 8.0   | 148752 | 3.4470          | 0.3996   |
| 3.0707        | 9.0   | 167346 | 3.4307          | 0.4014   |
| 3.0388        | 10.0  | 185940 | 3.4265          | 0.4022   |
| 3.014         | 11.0  | 204534 | 3.4200          | 0.4036   |
| 2.9927        | 12.0  | 223128 | 3.4162          | 0.4035   |
| 2.9697        | 13.0  | 241722 | 3.4235          | 0.4037   |
| 2.9509        | 14.0  | 260316 | 3.4243          | 0.4044   |
| 2.9275        | 15.0  | 278910 | 3.4323          | 0.4042   |
| 2.9124        | 16.0  | 297504 | 3.4248          | 0.4050   |
| 2.8922        | 17.0  | 316098 | 3.4200          | 0.4055   |
| 2.8797        | 18.0  | 334692 | 3.4351          | 0.4053   |
| 2.8621        | 19.0  | 353286 | 3.4360          | 0.4054   |
| 2.8486        | 20.0  | 371880 | 3.4390          | 0.4055   |


### Framework versions

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