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---
license: apache-2.0
base_model: DesilDev/Blocksmith
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: BlocksmithV2
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: validation
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 39.0411
---
<!-- 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. -->
# BlocksmithV2
This model is a fine-tuned version of [DesilDev/Blocksmith](https://huggingface.co/DesilDev/Blocksmith) on the samsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8786
- Rouge1: 39.0411
- Rouge2: 16.2095
- Rougel: 32.6745
- Rougelsum: 35.9911
- Gen Len: 16.28
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.115 | 1.0 | 921 | 1.8786 | 39.0411 | 16.2095 | 32.6745 | 35.9911 | 16.28 |
### Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|