Andre Barbosa commited on
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  1. README.md +62 -0
  2. config.json +27 -0
  3. pytorch_model.bin +3 -0
README.md ADDED
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+ ---
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+ metrics:
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+ - accuracy
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+
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+ model-index:
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+ - name: c4-aristo-roberta-large
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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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+ # c4-aristo-roberta-large
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+
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+ This model was trained from scratch on an unkown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0332
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+ - Accuracy: 0.7370
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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: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 4
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.8204 | 1.0 | 140 | 0.7246 | 0.7171 |
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+ | 0.5512 | 2.0 | 280 | 0.7441 | 0.7312 |
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+ | 0.3437 | 3.0 | 420 | 0.8940 | 0.7363 |
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+ | 0.291 | 4.0 | 560 | 1.0332 | 0.7370 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.6.1
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+ - Pytorch 1.10.0.dev20210620+cu113
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+ - Datasets 1.6.2
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+ - Tokenizers 0.10.2
config.json ADDED
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+ {
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+ "_name_or_path": "LIAMF-USP/roberta-large-finetuned-race",
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+ "architectures": [
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+ "RobertaForMultipleChoice"
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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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+ "eos_token_id": 2,
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+ "gradient_checkpointing": true,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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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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+ "num_attention_heads": 16,
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+ "num_hidden_layers": 24,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "total_flos": 1502266556732252160,
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+ "transformers_version": "4.6.1",
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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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+ }
pytorch_model.bin ADDED
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