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MikeGreen2710/model_location_with_extra_16_features

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README.md ADDED
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+ ---
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+ base_model: MikeGreen2710/mlm_listing_1.79
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - f1
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+ model-index:
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+ - name: training_with_callbacks
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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/ommlops/huggingface/runs/cib2hyrr)
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+ # training_with_callbacks
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+
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+ This model is a fine-tuned version of [MikeGreen2710/mlm_listing_1.79](https://huggingface.co/MikeGreen2710/mlm_listing_1.79) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6543
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+ - F1: 0.9208
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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: 24
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+ - eval_batch_size: 12
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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: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.0824 | 1.0 | 450 | 0.3580 | 0.9060 |
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+ | 0.0511 | 2.0 | 900 | 0.4426 | 0.9124 |
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+ | 0.026 | 3.0 | 1350 | 0.5414 | 0.9068 |
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+ | 0.0217 | 4.0 | 1800 | 0.5045 | 0.9143 |
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+ | 0.0173 | 5.0 | 2250 | 0.5599 | 0.9118 |
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+ | 0.0118 | 6.0 | 2700 | 0.6114 | 0.9149 |
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+ | 0.0064 | 7.0 | 3150 | 0.6536 | 0.9134 |
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+ | 0.0113 | 8.0 | 3600 | 0.7119 | 0.9011 |
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+ | 0.0075 | 9.0 | 4050 | 0.6683 | 0.9124 |
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+ | 0.0069 | 10.0 | 4500 | 0.6543 | 0.9208 |
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+ | 0.0042 | 11.0 | 4950 | 0.6937 | 0.9158 |
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+ | 0.0062 | 12.0 | 5400 | 0.7119 | 0.9184 |
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+ | 0.0048 | 13.0 | 5850 | 0.7300 | 0.9143 |
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+ | 0.0021 | 14.0 | 6300 | 0.7877 | 0.9110 |
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+ | 0.0032 | 15.0 | 6750 | 0.7892 | 0.9116 |
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+ | 0.003 | 16.0 | 7200 | 0.7744 | 0.9091 |
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+ | 0.0069 | 17.0 | 7650 | 0.7118 | 0.9184 |
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+ | 0.0006 | 18.0 | 8100 | 0.7633 | 0.9143 |
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+ | 0.0011 | 19.0 | 8550 | 0.7438 | 0.9200 |
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+ | 0.0001 | 20.0 | 9000 | 0.7461 | 0.9200 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "_name_or_path": "MikeGreen2710/mlm_listing_1.79",
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+ "architectures": [
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+ "CustomSequenceClassification"
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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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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 258,
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+ "model_type": "roberta",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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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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+ "tokenizer_class": "PhobertTokenizer",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.42.4",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 64001
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+ }
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