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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- spearmanr
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model-index:
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- name: M1_MLM_cross
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# M1_MLM_cross
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This model is a fine-tuned version of [S2312dal/M1_MLM](https://huggingface.co/S2312dal/M1_MLM) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0106
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- Pearson: 0.9723
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- Spearmanr: 0.9112
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 25
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 8.0
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|
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| 0.0094 | 1.0 | 131 | 0.0342 | 0.9209 | 0.8739 |
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| 0.0091 | 2.0 | 262 | 0.0157 | 0.9585 | 0.9040 |
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| 0.0018 | 3.0 | 393 | 0.0106 | 0.9723 | 0.9112 |
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### Framework versions
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- Transformers 4.20.1
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- Pytorch 1.11.0+cu113
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- Datasets 2.3.2
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- Tokenizers 0.12.1
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