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End of training

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Files changed (10) hide show
  1. README.md +57 -0
  2. config.json +30 -0
  3. model.safetensors +3 -0
  4. runs/Apr20_02-04-24_406349e91be1/events.out.tfevents.1713578669.406349e91be1.910.0 +3 -0
  5. runs/Apr20_02-05-06_406349e91be1/events.out.tfevents.1713578707.406349e91be1.910.1 +3 -0
  6. runs/Apr20_02-06-46_406349e91be1/events.out.tfevents.1713578807.406349e91be1.910.2 +3 -0
  7. runs/Apr20_02-09-34_406349e91be1/events.out.tfevents.1713578975.406349e91be1.910.3 +3 -0
  8. runs/Apr20_02-11-30_406349e91be1/events.out.tfevents.1713579091.406349e91be1.910.4 +3 -0
  9. runs/Apr20_02-16-35_406349e91be1/events.out.tfevents.1713579396.406349e91be1.910.5 +3 -0
  10. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: cc-by-4.0
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+ base_model: deepset/tinyroberta-squad2
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: outputs
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/victor-chen/huggingface/runs/b9uesjjf)
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+ # outputs
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+
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+ This model is a fine-tuned version of [deepset/tinyroberta-squad2](https://huggingface.co/deepset/tinyroberta-squad2) on an unknown dataset.
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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: 16
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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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: 100
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+ - training_steps: 200
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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 4.41.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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+ {
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+ "_name_or_path": "deepset/tinyroberta-squad2",
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+ "architectures": [
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+ "RobertaForQuestionAnswering"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "language": "english",
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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+ "model_type": "roberta",
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+ "name": "Roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 6,
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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": "4.41.0.dev0",
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+ "type_vocab_size": 1,
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+ "use_cache": false,
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+ "vocab_size": 50265
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+ }
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