Delete finetuned-roberta

finetuned-roberta/.gitattributes

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finetuned-roberta/README.md

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----
-library_name: transformers
-base_model: GoalZero/goalzero-latest
-tags:
-- generated_from_trainer
-model-index:
-- name: new_goal_zero
-  results: []
----
-
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# new_goal_zero
-
-This model is a fine-tuned version of [GoalZero/goalzero-latest](https://huggingface.co/GoalZero/goalzero-latest) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.1514
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.0214        | 1.0   | 57   | 0.3040          |
-| 0.3686        | 2.0   | 114  | 0.1514          |
-| 0.0712        | 3.0   | 171  | 0.2839          |
-| 0.0005        | 4.0   | 228  | 0.1589          |
-| 0.0345        | 5.0   | 285  | 0.1724          |
-
-
-### Framework versions
-
-- Transformers 4.44.2
-- Pytorch 2.5.0+cu121
-- Datasets 3.1.0
-- Tokenizers 0.19.1

finetuned-roberta/config.json

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-{
-  "_name_or_path": "GoalZero/goalzero-latest",
-  "architectures": [
-    "RobertaForSequenceClassification"
-  ],
-  "attention_probs_dropout_prob": 0.1,
-  "bos_token_id": 0,
-  "classifier_dropout": null,
-  "eos_token_id": 2,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
-  "id2label": {
-    "0": "Class 0",
-    "1": "Class 1"
-  },
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "label2id": {
-    "Fake": 0,
-    "Real": 1
-  },
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 514,
-  "model_type": "roberta",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
-  "output_past": true,
-  "pad_token_id": 1,
-  "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
-  "torch_dtype": "float32",
-  "transformers_version": "4.44.2",
-  "type_vocab_size": 1,
-  "use_cache": true,
-  "vocab_size": 50265
-}

finetuned-roberta/model.safetensors

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finetuned-roberta/special_tokens_map.json

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-{
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-    "single_word": false
-  },
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finetuned-roberta/tokenizer_config.json

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-{
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-}

finetuned-roberta/training_args.bin

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