End of training
Browse files- README.md +67 -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: CRAB_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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# CRAB_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: 1.0693
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- F1: 0.7264
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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: 1
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- eval_batch_size: 1
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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 | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 1.1559 | 1.0 | 2880 | 1.2804 | 0.6444 |
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| 1.0303 | 2.0 | 5760 | 1.3236 | 0.6986 |
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| 0.8925 | 3.0 | 8640 | 1.0502 | 0.7014 |
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| 0.9221 | 4.0 | 11520 | 1.0111 | 0.7194 |
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| 0.7799 | 5.0 | 14400 | 1.0462 | 0.7083 |
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| 0.7661 | 6.0 | 17280 | 1.0564 | 0.7236 |
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| 0.7346 | 7.0 | 20160 | 1.0643 | 0.7250 |
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| 0.6651 | 8.0 | 23040 | 1.0693 | 0.7264 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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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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