---
library_name: transformers
license: apache-2.0
base_model: facebook/blenderbot-400M-distill
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: newest
  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. -->

# newest

This model is a fine-tuned version of [facebook/blenderbot-400M-distill](https://huggingface.co/facebook/blenderbot-400M-distill) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.3335
- Rouge1: 0.3426
- Rouge2: 0.0596
- Rougel: 0.1740

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
| 2.7821        | 1.0   | 789  | 2.6726          | 0.3439 | 0.0600 | 0.1742 |
| 2.1263        | 2.0   | 1578 | 2.4068          | 0.3421 | 0.0596 | 0.1747 |
| 1.7148        | 3.0   | 2367 | 2.3335          | 0.3426 | 0.0596 | 0.1740 |


### Framework versions

- Transformers 4.48.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0