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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: COPA_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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# COPA_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: 0.7959 |
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- F1: 0.72 |
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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: 10 |
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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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| No log | 1.0 | 63 | 0.5853 | 0.728 | |
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| No log | 2.0 | 126 | 0.5540 | 0.708 | |
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| No log | 3.0 | 189 | 0.5356 | 0.74 | |
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| No log | 4.0 | 252 | 0.5380 | 0.766 | |
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| No log | 5.0 | 315 | 0.5841 | 0.7580 | |
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| No log | 6.0 | 378 | 0.6396 | 0.738 | |
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| No log | 7.0 | 441 | 0.6778 | 0.7420 | |
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| 0.2823 | 8.0 | 504 | 0.7111 | 0.728 | |
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| 0.2823 | 9.0 | 567 | 0.7695 | 0.712 | |
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| 0.2823 | 10.0 | 630 | 0.7959 | 0.72 | |
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### Framework versions |
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- Transformers 4.41.0 |
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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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