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Model save

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  1. README.md +59 -0
  2. config.json +1 -1
  3. pytorch_model.bin +3 -0
  4. tokenizer_config.json +55 -48
  5. training_args.bin +2 -2
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ base_model: deepset/roberta-base-squad2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: my_awesome_qa_model
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+ results: []
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+ ---
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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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+
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+ # my_awesome_qa_model
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+
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+ This model is a fine-tuned version of [deepset/roberta-base-squad2](https://huggingface.co/deepset/roberta-base-squad2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 7.1498
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 3
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 148 | 5.9618 |
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+ | No log | 2.0 | 296 | 7.1965 |
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+ | No log | 3.0 | 444 | 7.1498 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.1.0
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
config.json CHANGED
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "vocab_size": 50265
 
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  "pad_token_id": 1,
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  "position_embedding_type": "absolute",
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  "torch_dtype": "float32",
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+ "transformers_version": "4.32.1",
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  "type_vocab_size": 1,
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  "use_cache": true,
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  "vocab_size": 50265
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