End of training
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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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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metrics:
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- accuracy
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model-index:
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- name: impact-cat
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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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# impact-cat
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This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6713
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- Accuracy: 0.7375
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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: 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: 8
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 40 | 1.0972 | 0.5875 |
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| No log | 2.0 | 80 | 0.5872 | 0.7562 |
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| No log | 3.0 | 120 | 0.6250 | 0.725 |
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| No log | 4.0 | 160 | 0.5797 | 0.7375 |
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| No log | 5.0 | 200 | 0.5570 | 0.725 |
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| No log | 6.0 | 240 | 0.5464 | 0.7562 |
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| No log | 7.0 | 280 | 0.6876 | 0.7375 |
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| No log | 8.0 | 320 | 0.6713 | 0.7375 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 439712772
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version https://git-lfs.github.com/spec/v1
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size 439712772
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