---
library_name: transformers
license: other
base_model: LiquidAI/LFM2.5-350M
tags:
- generated_from_trainer
model-index:
- name: lab7-tweet-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-tweet-generator

This model is a fine-tuned version of [LiquidAI/LFM2.5-350M](https://huggingface.co/LiquidAI/LFM2.5-350M) on an unknown dataset.

## 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
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 2.0   | 162  | 5.7775          |


### Framework versions

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