| | --- |
| | base_model: linker_v5/stage1 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - jarod0411/linker_v3 |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: stage2_v5 |
| | results: |
| | - task: |
| | name: Causal Language Modeling |
| | type: text-generation |
| | dataset: |
| | name: jarod0411/linker_v3 |
| | type: jarod0411/linker_v3 |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.916456858900755 |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # stage2_v5 |
| | |
| | This model is a fine-tuned version of [linker_v5/stage1](https://huggingface.co/linker_v5/stage1) on the jarod0411/linker_v3 dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2448 |
| | - Accuracy: 0.9165 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 24 |
| | - eval_batch_size: 24 |
| | - seed: 1 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - total_train_batch_size: 192 |
| | - total_eval_batch_size: 192 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:------:|:---------------:|:--------:| |
| | | 0.3173 | 1.0 | 11304 | 0.2837 | 0.9060 | |
| | | 0.284 | 2.0 | 22608 | 0.2613 | 0.9124 | |
| | | 0.2719 | 3.0 | 33912 | 0.2546 | 0.9140 | |
| | | 0.2654 | 4.0 | 45216 | 0.2511 | 0.9148 | |
| | | 0.2613 | 5.0 | 56520 | 0.2489 | 0.9154 | |
| | | 0.2586 | 6.0 | 67824 | 0.2474 | 0.9158 | |
| | | 0.2569 | 7.0 | 79128 | 0.2463 | 0.9161 | |
| | | 0.2553 | 8.0 | 90432 | 0.2455 | 0.9163 | |
| | | 0.2545 | 9.0 | 101736 | 0.2450 | 0.9164 | |
| | | 0.2539 | 10.0 | 113040 | 0.2448 | 0.9165 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.0.dev0 |
| | - Pytorch 2.2.0+cu121 |
| | - Datasets 2.17.0 |
| | - Tokenizers 0.15.2 |
| |
|
