End of training
Browse files- README.md +70 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google-bert/bert-base-uncased
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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_5_shot
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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_5_shot
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This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6992
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- F1: 0.514
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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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 | 2 | 0.6940 | 0.552 |
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| No log | 2.0 | 4 | 0.6956 | 0.534 |
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| No log | 3.0 | 6 | 0.6976 | 0.52 |
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| No log | 4.0 | 8 | 0.6996 | 0.522 |
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| No log | 5.0 | 10 | 0.7001 | 0.51 |
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| No log | 6.0 | 12 | 0.6999 | 0.506 |
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| No log | 7.0 | 14 | 0.7000 | 0.512 |
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| No log | 8.0 | 16 | 0.6998 | 0.514 |
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| No log | 9.0 | 18 | 0.6994 | 0.52 |
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| No log | 10.0 | 20 | 0.6992 | 0.514 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 437955572
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version https://git-lfs.github.com/spec/v1
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size 437955572
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