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--- |
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license: mit |
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base_model: jarod0411/linker_v2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: linker_v3 |
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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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# linker_v3 |
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This model is a fine-tuned version of [jarod0411/linker_v2](https://huggingface.co/jarod0411/linker_v2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2291 |
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- Accuracy: 0.9209 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 1 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 64 |
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- total_eval_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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- num_epochs: 10.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:------:|:---------------:|:--------:| |
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| 0.2532 | 1.0 | 33912 | 0.2459 | 0.9160 | |
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| 0.2433 | 2.0 | 67824 | 0.2392 | 0.9179 | |
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| 0.2384 | 3.0 | 101736 | 0.2358 | 0.9188 | |
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| 0.2354 | 4.0 | 135648 | 0.2336 | 0.9195 | |
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| 0.2331 | 5.0 | 169560 | 0.2322 | 0.9199 | |
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| 0.2307 | 6.0 | 203472 | 0.2311 | 0.9202 | |
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| 0.2293 | 7.0 | 237384 | 0.2303 | 0.9205 | |
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| 0.2282 | 8.0 | 271296 | 0.2297 | 0.9207 | |
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| 0.2274 | 9.0 | 305208 | 0.2293 | 0.9208 | |
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| 0.2269 | 10.0 | 339120 | 0.2291 | 0.9209 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.1.1+cu121 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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