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README.md

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----
-license: apache-2.0
-tags:
-- generated_from_trainer
-base_model: facebook/rag-sequence-nq
-datasets:
-- cqa_v1
-model-index:
-- name: rag_sequence_nq_on_cqa
-  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. -->
-
-# 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