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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: BERT_word2vec |
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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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# BERT_word2vec |
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2223 |
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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: 0.0001 |
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- train_batch_size: 256 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- total_train_batch_size: 2048 |
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- total_eval_batch_size: 1024 |
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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: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:------:|:---------------:| |
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| 3.4036 | 1.0 | 43283 | 3.2746 | |
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| 3.0571 | 2.0 | 86566 | 2.9331 | |
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| 2.8967 | 3.0 | 129849 | 2.7814 | |
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| 2.7919 | 4.0 | 173132 | 2.6885 | |
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| 2.7072 | 5.0 | 216415 | 2.6176 | |
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| 2.6512 | 6.0 | 259698 | 2.5633 | |
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| 2.6091 | 7.0 | 302981 | 2.5193 | |
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| 2.5596 | 8.0 | 346264 | 2.4826 | |
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| 2.5291 | 9.0 | 389547 | 2.4491 | |
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| 2.4972 | 10.0 | 432830 | 2.4219 | |
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| 2.4697 | 11.0 | 476113 | 2.3943 | |
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| 2.4311 | 12.0 | 519396 | 2.3714 | |
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| 2.4199 | 13.0 | 562679 | 2.3438 | |
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| 2.3847 | 14.0 | 605962 | 2.3223 | |
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| 2.3508 | 15.0 | 649245 | 2.3042 | |
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| 2.3333 | 16.0 | 692528 | 2.2818 | |
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| 2.3113 | 17.0 | 735811 | 2.2633 | |
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| 2.281 | 18.0 | 779094 | 2.2447 | |
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| 2.2749 | 19.0 | 822377 | 2.2316 | |
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| 2.2541 | 20.0 | 865660 | 2.2223 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.2.2+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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