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End of training

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  1. README.md +48 -0
  2. config.json +0 -1
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-uncased
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: my_awesome_model
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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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+ # my_awesome_model
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) 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: 16
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+ - eval_batch_size: 16
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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: 2
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
config.json CHANGED
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  "n_heads": 12,
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  "n_layers": 6,
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  "pad_token_id": 0,
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- "problem_type": "single_label_classification",
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  "qa_dropout": 0.1,
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
 
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  "n_heads": 12,
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  "n_layers": 6,
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  "pad_token_id": 0,
 
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  "qa_dropout": 0.1,
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  "seq_classif_dropout": 0.2,
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  "sinusoidal_pos_embds": false,
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