End of training
Browse files- README.md +70 -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: my_awesome_model
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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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# my_awesome_model
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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: 0.5640
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- Accuracy: 0.7795
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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: 1
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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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| 1.184 | 0.0770 | 100 | 0.9294 | 0.6612 |
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| 0.8519 | 0.1540 | 200 | 0.8007 | 0.7087 |
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| 0.7555 | 0.2309 | 300 | 0.7204 | 0.7245 |
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| 0.7065 | 0.3079 | 400 | 0.7121 | 0.7324 |
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| 0.6499 | 0.3849 | 500 | 0.6654 | 0.7567 |
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| 0.6504 | 0.4619 | 600 | 0.6227 | 0.7659 |
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| 0.6421 | 0.5389 | 700 | 0.6104 | 0.7695 |
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| 0.6298 | 0.6159 | 800 | 0.6094 | 0.7652 |
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| 0.5851 | 0.6928 | 900 | 0.5852 | 0.7795 |
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| 0.5903 | 0.7698 | 1000 | 0.5759 | 0.7828 |
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| 0.5682 | 0.8468 | 1100 | 0.5769 | 0.7758 |
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| 0.5809 | 0.9238 | 1200 | 0.5640 | 0.7795 |
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### Framework versions
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
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size 439718924
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version https://git-lfs.github.com/spec/v1
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size 439718924
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