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README.md ADDED
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+
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+ # Pretrained checkpoint: roberta-large
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+ # Traning hyperparameters:
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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: 24
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+ - eval_batch_size: 24
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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: 4
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+ - prompt_format: sentence aspect - sentiment
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+
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+ # Training results
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+
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+ |Epoch | Train loss| Subtask 3 f1 | Subtask 3 precision | Subtask 3 recall | Subtask4 accuracy |
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+ |:----:|:---------:|:------------:|:-------------------:|:----------------:|:-----------------:|
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+ |1|297.3644767999649|0.8531969309462915|0.896774193548387|0.8136585365853658|0.8117073170731708|
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+ |2|149.83522895351052|0.9106090373280943|0.9169139465875371|0.904390243902439|0.864390243902439|
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+ |3|90.49159649666399|0.9122632103688932|0.9327217125382263|0.8926829268292683|0.88|
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+ |4|52.63290124386549|0.9204938271604939|0.932|0.9092682926829269|0.8917073170731707|
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+
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+
config.json ADDED
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+ {
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+ "_name_or_path": "roberta-large",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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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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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "positive",
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+ "1": "neutral",
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+ "2": "negative",
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+ "3": "conflict",
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+ "4": "none"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4096,
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+ "label2id": {
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+ "conflict": 3,
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+ "negative": 2,
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+ "neutral": 1,
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+ "none": 4,
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+ "positive": 0
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+ },
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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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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.29.2",
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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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+ }
merges.txt ADDED
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vocab.json ADDED
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