Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilroberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: nqaasksciencemodeling
+  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. -->
+
+# nqaasksciencemodeling
+
+This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 4.2666        | 1.0   | 2000  | nan             |
+| 3.6804        | 2.0   | 4000  | nan             |
+| 3.0568        | 3.0   | 6000  | nan             |
+| 2.9319        | 4.0   | 8000  | nan             |
+| 2.6324        | 5.0   | 10000 | nan             |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 1.12.1+cu113
+- Datasets 3.1.0
+- Tokenizers 0.20.3

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