Model save

README.md

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+---
+license: mit
+base_model: Rakib/roberta-base-on-cuad
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-on-cuad-finetuned-squad
+  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-base-on-cuad-finetuned-squad
+
+This model is a fine-tuned version of [Rakib/roberta-base-on-cuad](https://huggingface.co/Rakib/roberta-base-on-cuad) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.9238
+- eval_runtime: 213.2462
+- eval_samples_per_second: 50.599
+- eval_steps_per_second: 3.165
+- epoch: 2.2579
+- step: 12500
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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