End of training
Browse files- README.md +66 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: albert/albert-base-v2
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: e_care_albert_base_finetuned
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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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# e_care_albert_base_finetuned
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This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co/albert/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: 1.4498
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- F1: 0.7290
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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: 1e-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: 7
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.552 | 1.0 | 933 | 0.5073 | 0.7380 |
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| 0.392 | 2.0 | 1866 | 0.5267 | 0.7455 |
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| 0.2009 | 3.0 | 2799 | 0.7612 | 0.7446 |
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| 0.0715 | 4.0 | 3732 | 1.0338 | 0.7479 |
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| 0.0243 | 5.0 | 4665 | 1.2592 | 0.7328 |
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| 0.0079 | 6.0 | 5598 | 1.4134 | 0.7347 |
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| 0.0035 | 7.0 | 6531 | 1.4498 | 0.7290 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 46740836
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version https://git-lfs.github.com/spec/v1
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size 46740836
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