---
license: apache-2.0
base_model: facebook/rag-sequence-nq
tags:
- generated_from_trainer
datasets:
- cqa_v1
model-index:
- name: rag_sequence_nq_on_cqa
  results: []
---

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# rag_sequence_nq_on_cqa

This model is a fine-tuned version of [facebook/rag-sequence-nq](https://huggingface.co/facebook/rag-sequence-nq) on the cqa_v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 31.3296

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 47
- gradient_accumulation_steps: 128
- total_train_batch_size: 1536
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log        | 0.9968 | 17   | 41.6343         |
| No log        | 1.9936 | 34   | 36.0718         |
| No log        | 2.9968 | 51   | 33.7388         |
| No log        | 3.9936 | 68   | 32.4122         |
| No log        | 4.9904 | 85   | 31.6654         |
| No log        | 5.9872 | 102  | 31.3296         |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.19.1