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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_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_cross |
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This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0066 |
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- Pearson: 0.9828 |
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- Spearmanr: 0.9147 |
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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=(0.9,0.98) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 125.0 |
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- num_epochs: 5 |
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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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| 0.0294 | 1.0 | 131 | 0.0457 | 0.8770 | 0.8351 | |
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| 0.0237 | 2.0 | 262 | 0.0302 | 0.9335 | 0.8939 | |
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| 0.015 | 3.0 | 393 | 0.0155 | 0.9594 | 0.9054 | |
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| 0.0177 | 4.0 | 524 | 0.0106 | 0.9778 | 0.9091 | |
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| 0.0087 | 5.0 | 655 | 0.0066 | 0.9828 | 0.9147 | |
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### Framework versions |
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- Transformers 4.20.0 |
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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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