Model save

README.md

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+---
+library_name: transformers
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+model-index:
+- name: Ms_Marcoasksciencemodeling
+  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. -->
+
+# Ms_Marcoasksciencemodeling
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4125
+
+## 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: 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.927         | 1.0   | 2000  | 0.8240          |
+| 0.7677        | 2.0   | 4000  | 0.6698          |
+| 0.6902        | 3.0   | 6000  | 0.5840          |
+| 0.6021        | 4.0   | 8000  | 0.5648          |
+| 0.5112        | 5.0   | 10000 | 0.5046          |
+| 0.5298        | 6.0   | 12000 | 0.4691          |
+| 0.5111        | 7.0   | 14000 | 0.4506          |
+| 0.4814        | 8.0   | 16000 | 0.4343          |
+| 0.4725        | 9.0   | 18000 | 0.4140          |
+| 0.4238        | 10.0  | 20000 | 0.4214          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

runs/Dec02_01-11-28_21e424a9704a/events.out.tfevents.1733101967.21e424a9704a.1128.0

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