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: studio-ousia/mluke-base
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tags:
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- generated_from_trainer
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model-index:
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- name: exp_mluke_base_auan
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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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# exp_mluke_base_auan
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This model is a fine-tuned version of [studio-ousia/mluke-base](https://huggingface.co/studio-ousia/mluke-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1706
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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: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 16
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- seed: 618
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.5369 | 0.9932 | 55 | 0.4464 |
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| 0.2825 | 1.9865 | 110 | 0.2670 |
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| 0.2248 | 2.9977 | 166 | 0.2278 |
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| 0.1797 | 3.9910 | 221 | 0.2210 |
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| 0.111 | 4.9842 | 276 | 0.1788 |
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| 0.1056 | 5.9955 | 332 | 0.1682 |
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| 0.0981 | 6.9887 | 387 | 0.1899 |
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| 0.0803 | 8.0 | 443 | 0.1720 |
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| 0.0768 | 8.9932 | 498 | 0.1572 |
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| 0.0504 | 9.9323 | 550 | 0.1706 |
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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+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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-
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size 2343386936
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version https://git-lfs.github.com/spec/v1
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size 2343386936
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