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--- |
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license: apache-2.0 |
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tags: |
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- generated_from_trainer |
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base_model: facebook/rag-sequence-nq |
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datasets: |
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- cqa_v1 |
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model-index: |
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- name: rag_sequence_nq_on_cqa |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# rag_sequence_nq_on_cqa |
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This model is a fine-tuned version of [facebook/rag-sequence-nq](https://huggingface.co/facebook/rag-sequence-nq) on the cqa_v1 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 31.3296 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-05 |
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- train_batch_size: 12 |
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- eval_batch_size: 12 |
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- seed: 47 |
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- gradient_accumulation_steps: 128 |
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- total_train_batch_size: 1536 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: polynomial |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 6 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| No log | 0.9968 | 17 | 41.6343 | |
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| No log | 1.9936 | 34 | 36.0718 | |
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| No log | 2.9968 | 51 | 33.7388 | |
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| No log | 3.9936 | 68 | 32.4122 | |
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| No log | 4.9904 | 85 | 31.6654 | |
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| No log | 5.9872 | 102 | 31.3296 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.19.1 |
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