---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: slm-125m-tutor
  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. -->

# slm-125m-tutor

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0573

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 0.03
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.3378        | 0.2863 | 500  | 1.2903          |
| 1.2281        | 0.5726 | 1000 | 1.1914          |
| 1.1361        | 0.8589 | 1500 | 1.1385          |
| 0.9816        | 1.1449 | 2000 | 1.1079          |
| 0.9342        | 1.4311 | 2500 | 1.0880          |
| 0.9271        | 1.7174 | 3000 | 1.0697          |
| 0.9189        | 2.0034 | 3500 | 1.0578          |
| 0.7955        | 2.2897 | 4000 | 1.0619          |
| 0.8140        | 2.5760 | 4500 | 1.0589          |
| 0.8316        | 2.8623 | 5000 | 1.0573          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2