update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: DSPFirst-Finetuning-4
+  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-4
+
+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: 1.1113
+- Exact: 63.9013
+- F1: 72.1497
+
+## 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: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Exact   | F1      |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 2.4306        | 0.81  | 20   | 1.1873          | 58.8004 | 67.0961 |
+| 1.8178        | 1.64  | 40   | 1.1572          | 62.8924 | 71.2319 |
+| 1.7696        | 2.48  | 60   | 1.0879          | 63.6771 | 71.6848 |
+| 1.8313        | 3.32  | 80   | 1.1332          | 63.2848 | 71.8749 |
+| 1.5811        | 4.16  | 100  | 1.0473          | 63.4529 | 71.6780 |
+| 1.477         | 4.97  | 120  | 1.0720          | 64.1816 | 72.2297 |
+| 1.5882        | 5.81  | 140  | 1.1113          | 63.9013 | 72.1497 |
+
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.1.0
+- Tokenizers 0.12.1