---
library_name: transformers
base_model: google/bert_for_seq_generation_L-24_bbc_encoder
tags:
- generated_from_trainer
model-index:
- name: bert_sp_updown
  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. -->

# bert_sp_updown

This model is a fine-tuned version of [google/bert_for_seq_generation_L-24_bbc_encoder](https://huggingface.co/google/bert_for_seq_generation_L-24_bbc_encoder) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0001

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0033        | 1.0   | 1429 | 0.0000          |
| 0.0005        | 2.0   | 2858 | 0.0000          |
| 0.0067        | 3.0   | 4287 | 0.0001          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1