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README.md

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----
-license: mit
-base_model: microsoft/deberta-v3-base
-tags:
-- generated_from_trainer
-metrics:
-- f1
-model-index:
-- name: boe_classifier
-  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. -->
-
-# boe_classifier
-
-This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- F1: 0.3068
-- Loss: 7.9021
-
-## 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: 3e-05
-- train_batch_size: 1
-- eval_batch_size: 2
-- seed: 42
-- gradient_accumulation_steps: 10
-- total_train_batch_size: 10
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.03
-- num_epochs: 1
-
-### Training results
-
-| Training Loss | Epoch  | Step | F1     | Validation Loss |
-|:-------------:|:------:|:----:|:------:|:---------------:|
-| No log        | 0.9195 | 8    | 0.2727 | 9.3126          |
-
-
-### Framework versions
-
-- Transformers 4.42.4
-- Pytorch 2.3.1+cu121
-- Datasets 2.20.0
-- Tokenizers 0.19.1