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Flamgrise
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bios_lol_fine-tuned

Text Classification
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bart
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Fine-tuned BART model for League of Legends biographies classification

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Files changed (24) hide show
  1. README.md +55 -0
  2. config.json +58 -0
  3. merges.txt +0 -0
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README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/bart-large-mnli
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bios_lol_fine-tuned
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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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+ # bios_lol_fine-tuned
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+
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+ This model is a fine-tuned version of [facebook/bart-large-mnli](https://huggingface.co/facebook/bart-large-mnli) 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: 1
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+ - eval_batch_size: 1
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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: 1
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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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+ | No log | 1.0 | 130 | 1.7029 | 0.0816 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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+ {
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+ "_name_or_path": "facebook/bart-large-mnli",
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+ "_num_labels": 3,
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+ "activation_dropout": 0.0,
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+ "activation_function": "gelu",
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+ "add_final_layer_norm": false,
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+ "architectures": [
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+ "BartForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 0,
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+ "decoder_layers": 12,
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+ "decoder_start_token_id": 2,
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+ "dropout": 0.1,
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+ "encoder_attention_heads": 16,
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+ "encoder_layerdrop": 0.0,
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+ "encoder_layers": 12,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "gradient_checkpointing": false,
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+ "id2label": {
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+ "0": "Fighter",
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+ "1": "Mage",
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+ "2": "Assassin",
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+ "3": "Marksman",
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+ "4": "Tank",
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+ "init_std": 0.02,
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+ "is_encoder_decoder": true,
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+ "max_position_embeddings": 1024,
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+ "model_type": "bart",
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+ "normalize_before": false,
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+ "num_hidden_layers": 12,
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+ "output_past": false,
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+ "pad_token_id": 1,
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+ "problem_type": "single_label_classification",
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+ "scale_embedding": false,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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