---
library_name: transformers
license: apache-2.0
base_model: DesilDev/BlocksmithV2.1
tags:
- generated_from_trainer
model-index:
- name: BlocksmithV2.2
  results: []
---

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# BlocksmithV2.2

This model is a fine-tuned version of [DesilDev/BlocksmithV2.1](https://huggingface.co/DesilDev/BlocksmithV2.1) on the None 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 47   | 2.4568          | 49.1553 | 25.8847 | 44.7954 | 45.2236   | 15.5532 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1