update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: DSPFirst-Finetuning-3
+  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. -->
+
+# DSPFirst-Finetuning-3
+
+This model is a fine-tuned version of [ahotrod/electra_large_discriminator_squad2_512](https://huggingface.co/ahotrod/electra_large_discriminator_squad2_512) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9996
+- Exact: 63.9193
+- F1: 72.1090
+
+## 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: 6
+- eval_batch_size: 6
+- seed: 42
+- gradient_accumulation_steps: 86
+- total_train_batch_size: 516
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Exact   | F1      |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 1.3511        | 0.99  | 28   | 1.1388          | 62.9941 | 71.4102 |
+| 1.0052        | 1.99  | 56   | 1.0255          | 65.0126 | 73.0388 |
+| 0.8699        | 2.99  | 84   | 0.9996          | 63.9193 | 72.1090 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.1.0
+- Tokenizers 0.12.1