---
library_name: transformers
license: apache-2.0
base_model: HuggingFaceTB/SmolLM2-135M
tags:
- generated_from_trainer
model-index:
- name: lab7-shakespeare-generator
  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-generator

This model is a fine-tuned version of [HuggingFaceTB/SmolLM2-135M](https://huggingface.co/HuggingFaceTB/SmolLM2-135M) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2402

## 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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 3.3220        | 0.2747 | 100  | 3.2996          |
| 3.2670        | 0.5495 | 200  | 3.2597          |
| 3.0610        | 0.8242 | 300  | 3.2052          |
| 2.7010        | 1.0989 | 400  | 3.2456          |
| 2.4893        | 1.3736 | 500  | 3.2413          |
| 2.4860        | 1.6484 | 600  | 3.2417          |
| 2.4518        | 1.9231 | 700  | 3.2405          |
| 2.4518        | 2.0    | 728  | 3.2402          |


### Framework versions

- Transformers 5.13.1
- Pytorch 2.9.1+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2