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--- |
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base_model: allenai/scibert_scivocab_uncased |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: scibert_scivocab_uncased-finetuned-molstm-mlm-0.3-5epochs |
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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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# scibert_scivocab_uncased-finetuned-molstm-mlm-0.3-5epochs |
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.6660 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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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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- num_epochs: 5 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0053 | 1.0 | 512 | 0.8043 | |
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| 0.8263 | 2.0 | 1024 | 0.7319 | |
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| 0.7641 | 3.0 | 1536 | 0.6908 | |
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| 0.7303 | 4.0 | 2048 | 0.6738 | |
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| 0.7174 | 5.0 | 2560 | 0.6644 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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