End of training

README.md

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+---
+base_model: uer/roberta-tiny-wwm-chinese-cluecorpussmall
+tags:
+- generated_from_trainer
+model-index:
+- name: ntu_adl_span_selection_roberta
+  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. -->
+
+# ntu_adl_span_selection_roberta
+
+This model is a fine-tuned version of [uer/roberta-tiny-wwm-chinese-cluecorpussmall](https://huggingface.co/uer/roberta-tiny-wwm-chinese-cluecorpussmall) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.8740
+
+## 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: 3e-05
+- train_batch_size: 2
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 339  | 5.0145          |
+| 5.4239        | 2.0   | 678  | 4.8740          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

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