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olipol/smaug_part1

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README.md ADDED
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+ ---
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+ library_name: transformers
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+ base_model: dkleczek/bert-base-polish-cased-v1
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: smaug_part1_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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+ # smaug_part1_v2
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+
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+ This model is a fine-tuned version of [dkleczek/bert-base-polish-cased-v1](https://huggingface.co/dkleczek/bert-base-polish-cased-v1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0312 | 1.0 | 662 | 0.0291 |
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+ | 0.0057 | 2.0 | 1324 | 0.0001 |
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+ | 0.0007 | 3.0 | 1986 | 0.1799 |
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+ | 0.0007 | 4.0 | 2648 | 0.0000 |
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+ | 0.0 | 5.0 | 3310 | 0.0000 |
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+ | 0.0 | 6.0 | 3972 | 0.0000 |
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+ | 0.0 | 7.0 | 4634 | 0.0000 |
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+ | 0.0 | 8.0 | 5296 | 0.0000 |
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+ | 0.0 | 9.0 | 5958 | 0.0000 |
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+ | 0.0 | 10.0 | 6620 | 0.0000 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.46.3
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+ - Pytorch 2.5.1+cu118
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+ - Datasets 3.1.0
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+ - Tokenizers 0.20.3
config.json ADDED
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+ {
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+ "_name_or_path": "dkleczek/bert-base-polish-cased-v1",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "hidden_act": "gelu",
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "output_past": true,
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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": "4.46.3",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 60000
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+ }
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