metadata
tags:
- generated_from_trainer
model-index:
- name: BERT_word2vec
results: []
BERT_word2vec
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2223
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: 0.0001
- train_batch_size: 256
- eval_batch_size: 128
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 2048
- total_eval_batch_size: 1024
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.4036 | 1.0 | 43283 | 3.2746 |
| 3.0571 | 2.0 | 86566 | 2.9331 |
| 2.8967 | 3.0 | 129849 | 2.7814 |
| 2.7919 | 4.0 | 173132 | 2.6885 |
| 2.7072 | 5.0 | 216415 | 2.6176 |
| 2.6512 | 6.0 | 259698 | 2.5633 |
| 2.6091 | 7.0 | 302981 | 2.5193 |
| 2.5596 | 8.0 | 346264 | 2.4826 |
| 2.5291 | 9.0 | 389547 | 2.4491 |
| 2.4972 | 10.0 | 432830 | 2.4219 |
| 2.4697 | 11.0 | 476113 | 2.3943 |
| 2.4311 | 12.0 | 519396 | 2.3714 |
| 2.4199 | 13.0 | 562679 | 2.3438 |
| 2.3847 | 14.0 | 605962 | 2.3223 |
| 2.3508 | 15.0 | 649245 | 2.3042 |
| 2.3333 | 16.0 | 692528 | 2.2818 |
| 2.3113 | 17.0 | 735811 | 2.2633 |
| 2.281 | 18.0 | 779094 | 2.2447 |
| 2.2749 | 19.0 | 822377 | 2.2316 |
| 2.2541 | 20.0 | 865660 | 2.2223 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2