Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: roberta-stance
+  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. -->
+
+# roberta-stance
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1034
+- Accuracy: 0.6232
+- Precision: 0.6077
+- Recall: 0.6301
+- F1: 0.6127
+
+## 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: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| No log        | 1.0   | 46   | 1.0695          | 0.5184   | 0.1728    | 0.3333 | 0.2276 |
+| No log        | 2.0   | 92   | 1.0372          | 0.5184   | 0.1728    | 0.3333 | 0.2276 |
+| No log        | 3.0   | 138  | 0.9757          | 0.5746   | 0.4121    | 0.4214 | 0.3711 |
+| No log        | 4.0   | 184  | 0.8826          | 0.6063   | 0.5820    | 0.5298 | 0.5423 |
+| No log        | 5.0   | 230  | 0.8429          | 0.6166   | 0.6159    | 0.6011 | 0.5824 |
+| No log        | 6.0   | 276  | 0.8153          | 0.6472   | 0.6257    | 0.6376 | 0.6294 |
+| No log        | 7.0   | 322  | 0.8600          | 0.6559   | 0.6492    | 0.6427 | 0.6315 |
+| No log        | 8.0   | 368  | 0.8912          | 0.6299   | 0.6138    | 0.6159 | 0.6108 |
+| No log        | 9.0   | 414  | 1.0091          | 0.6161   | 0.6048    | 0.6345 | 0.6084 |
+| No log        | 10.0  | 460  | 1.1034          | 0.6232   | 0.6077    | 0.6301 | 0.6127 |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

model.safetensors

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