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--- |
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base_model: linker_v4/stage1 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- jarod0411/linker_v2 |
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metrics: |
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- accuracy |
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model-index: |
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- name: stage2 |
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results: |
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- task: |
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name: Causal Language Modeling |
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type: text-generation |
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dataset: |
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name: jarod0411/linker_v2 |
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type: jarod0411/linker_v2 |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.8953714759150758 |
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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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# stage2 |
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This model is a fine-tuned version of [linker_v4/stage1](https://huggingface.co/linker_v4/stage1) on the jarod0411/linker_v2 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3246 |
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- Accuracy: 0.8954 |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 1 |
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- distributed_type: multi-GPU |
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- num_devices: 5 |
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- total_train_batch_size: 80 |
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- total_eval_batch_size: 80 |
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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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| 0.3608 | 1.0 | 43075 | 0.3509 | 0.8883 | |
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| 0.3495 | 2.0 | 86150 | 0.3408 | 0.8910 | |
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| 0.3435 | 3.0 | 129225 | 0.3355 | 0.8925 | |
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| 0.3394 | 4.0 | 172300 | 0.3322 | 0.8933 | |
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| 0.3367 | 5.0 | 215375 | 0.3298 | 0.8940 | |
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| 0.3343 | 6.0 | 258450 | 0.3279 | 0.8945 | |
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| 0.3326 | 7.0 | 301525 | 0.3267 | 0.8948 | |
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| 0.3311 | 8.0 | 344600 | 0.3256 | 0.8951 | |
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| 0.33 | 9.0 | 387675 | 0.3249 | 0.8953 | |
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| 0.3296 | 10.0 | 430750 | 0.3246 | 0.8954 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.2.0+cu121 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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