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README.md

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+---
+license: mit
+base_model: FacebookAI/roberta-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- recall
+- f1
+model-index:
+- name: non_green_as_train_contextroberta-large_final
+  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. -->
+
+# non_green_as_train_contextroberta-large_final
+
+This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1008
+- Accuracy: 0.9769
+- Recall: 0.6932
+- F1: 0.6943
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Recall | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|
+| 0.0664        | 1.0   | 7739  | 0.0862          | 0.9658   | 0.8042 | 0.6396 |
+| 0.0577        | 2.0   | 15478 | 0.1060          | 0.9768   | 0.6741 | 0.6869 |
+| 0.0337        | 3.0   | 23217 | 0.1008          | 0.9769   | 0.6932 | 0.6943 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2