update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- spearmanr
+model-index:
+- name: M4_MLM_cross
+  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. -->
+
+# M4_MLM_cross
+
+This model is a fine-tuned version of [S2312dal/M4_MLM](https://huggingface.co/S2312dal/M4_MLM) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0222
+- Pearson: 0.9472
+- Spearmanr: 0.8983
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 25
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 8.0
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
+| 0.0353        | 1.0   | 131  | 0.0590          | 0.8326  | 0.8225    |
+| 0.0478        | 2.0   | 262  | 0.0368          | 0.9234  | 0.8894    |
+| 0.0256        | 3.0   | 393  | 0.0222          | 0.9472  | 0.8983    |
+
+
+### Framework versions
+
+- Transformers 4.20.0
+- Pytorch 1.11.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1