Model save
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README.md
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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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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.36.0.dev0"
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}
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model.safetensors
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runs/Apr28_18-04-06_rbdgx1/events.out.tfevents.1714345921.rbdgx1.3035285.0
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