End of training
Browse files- README.md +69 -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: 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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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 46740836
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version https://git-lfs.github.com/spec/v1
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size 46740836
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