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fine-tuned-distilbert-base-uncased

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distilbert
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  1. README.md +57 -0
  2. config.json +35 -0
  3. model.safetensors +3 -0
  4. runs/Mar20_20-47-16_Micah/events.out.tfevents.1710938885.Micah.9300.0 +3 -0
  5. runs/Mar21_15-34-44_Micah/events.out.tfevents.1711006490.Micah.4636.0 +3 -0
  6. runs/Mar21_15-37-51_Micah/events.out.tfevents.1711006672.Micah.4636.1 +3 -0
  7. runs/Mar21_15-38-34_Micah/events.out.tfevents.1711006718.Micah.7820.0 +3 -0
  8. runs/Mar21_15-38-34_Micah/events.out.tfevents.1711006842.Micah.7820.1 +3 -0
  9. runs/Mar21_15-43-03_Micah/events.out.tfevents.1711006983.Micah.7820.2 +3 -0
  10. runs/Mar21_15-43-03_Micah/events.out.tfevents.1711007083.Micah.7820.3 +3 -0
  11. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: distilbert-base-uncased-finetuned-sst-2-english
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: fine-tuned-distilbert-base-uncased
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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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+ # fine-tuned-distilbert-base-uncased
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+
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+ This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 2.0891
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+ - eval_accuracy: {'accuracy': 0.6}
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+ - eval_f1score: {'f1': 0.6908981314044605}
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+ - eval_runtime: 30.2212
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+ - eval_samples_per_second: 3.309
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+ - eval_steps_per_second: 0.43
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+ - step: 0
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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: 8
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+ - eval_batch_size: 8
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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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+ - lr_scheduler_warmup_steps: 639
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+ - num_epochs: 1
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+
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+ ### Framework versions
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+
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+ - Transformers 4.35.2
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+ - Pytorch 2.1.1+cpu
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+ - Datasets 2.15.0
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+ - Tokenizers 0.15.0
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+ {
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+ "_name_or_path": "distilbert-base-uncased-finetuned-sst-2-english",
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+ "activation": "gelu",
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+ "architectures": [
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+ "DistilBertForSequenceClassification"
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+ ],
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+ "attention_dropout": 0.1,
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+ "dim": 768,
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+ "dropout": 0.1,
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+ "finetuning_task": "sst-2",
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+ "hidden_dim": 3072,
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+ "id2label": {
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+ "0": "NEGATIVE",
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+ "1": "POSITIVE"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "NEGATIVE": 0,
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+ "POSITIVE": 1
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+ },
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+ "max_position_embeddings": 512,
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+ "model_type": "distilbert",
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+ "n_heads": 12,
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+ "n_layers": 6,
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+ "output_past": true,
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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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+ "tie_weights_": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.35.2",
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+ "vocab_size": 30522
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+ }
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