Model save
Browse files- README.md +68 -0
- config.json +228 -0
- generation_config.json +18 -0
- model.safetensors +3 -0
- runs/Aug03_00-02-02_autodl-container-85074c9f82-4dcdba1e/events.out.tfevents.1722614523.autodl-container-85074c9f82-4dcdba1e.3581.0 +3 -0
- runs/Aug03_00-11-34_autodl-container-85074c9f82-4dcdba1e/events.out.tfevents.1722615095.autodl-container-85074c9f82-4dcdba1e.6126.0 +3 -0
- runs/Aug03_00-20-29_autodl-container-85074c9f82-4dcdba1e/events.out.tfevents.1722615630.autodl-container-85074c9f82-4dcdba1e.8501.0 +3 -0
- runs/Aug03_00-23-24_autodl-container-85074c9f82-4dcdba1e/events.out.tfevents.1722615805.autodl-container-85074c9f82-4dcdba1e.10573.0 +3 -0
- runs/Aug03_00-25-37_autodl-container-85074c9f82-4dcdba1e/events.out.tfevents.1722615938.autodl-container-85074c9f82-4dcdba1e.12618.0 +3 -0
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- runs/Aug03_00-33-11_autodl-container-85074c9f82-4dcdba1e/events.out.tfevents.1722616392.autodl-container-85074c9f82-4dcdba1e.16535.0 +3 -0
- runs/Aug03_00-36-51_autodl-container-85074c9f82-4dcdba1e/events.out.tfevents.1722616612.autodl-container-85074c9f82-4dcdba1e.18583.0 +3 -0
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- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: facebook/rag-sequence-nq
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tags:
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- generated_from_trainer
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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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config.json
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