---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM-135M
tags:
- generated_from_trainer
model-index:
- name: lab7-shakespeare-generator2
  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. -->

# lab7-shakespeare-generator2

This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3568

## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 50
- num_epochs: 2

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 3.5278        | 0.2747 | 100  | 3.4131          |
| 3.3964        | 0.5495 | 200  | 3.3824          |
| 3.2556        | 0.8242 | 300  | 3.3337          |
| 3.1101        | 1.0989 | 400  | 3.3544          |
| 2.8878        | 1.3736 | 500  | 3.3615          |
| 2.8615        | 1.6484 | 600  | 3.3581          |
| 2.8553        | 1.9231 | 700  | 3.3570          |
| 2.8553        | 2.0    | 728  | 3.3568          |


### Framework versions

- Transformers 5.12.1
- Pytorch 2.12.1
- Datasets 5.0.0
- Tokenizers 0.22.2