---
library_name: transformers
license: apache-2.0
base_model: facebook/blenderbot_small-90M
tags:
- generated_from_trainer
datasets:
- eli5_category
model-index:
- name: text_model_blenderbot
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# text_model_blenderbot

This model is a fine-tuned version of [facebook/blenderbot_small-90M](https://huggingface.co/facebook/blenderbot_small-90M) on the eli5_category dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0598

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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: 3.0

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1209        | 1.0   | 1356 | 0.0663          |
| 0.0627        | 2.0   | 2712 | 0.0603          |
| 0.0623        | 3.0   | 4068 | 0.0598          |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3