Samuel-DD commited on
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End of training

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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: microsoft/deberta-large
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: deberta-large-finetuned-squad-v2
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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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+ # deberta-large-finetuned-squad-v2
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+
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+ This model is a fine-tuned version of [microsoft/deberta-large](https://huggingface.co/microsoft/deberta-large) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 6.2875
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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: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 256
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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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+ - lr_scheduler_warmup_steps: 164.7475
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+ - num_epochs: 1
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.15.2
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+ "DebertaForQuestionAnswering"
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+ ],
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+ "layer_norm_eps": 1e-07,
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+ "max_position_embeddings": 512,
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+ "pooler_hidden_act": "gelu",
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+ "position_biased_input": false,
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+ "transformers_version": "4.38.2",
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+ "type_vocab_size": 0,
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+ "vocab_size": 50265
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+ }
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