model_v1_complete_training_wt_init_48_tiny_freeze_new_ffn_2
This model is a fine-tuned version of on the gokuls/wiki_book_corpus_complete_processed_bert_dataset dataset. It achieves the following results on the evaluation set:
- Loss: 3.7039
- Accuracy: 0.3843
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: 1e-05
- train_batch_size: 180
- eval_batch_size: 180
- seed: 10
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 100
Training results
Framework versions
- Transformers 4.35.2
- Pytorch 1.14.0a0+410ce96
- Datasets 2.15.0
- Tokenizers 0.15.0
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Dataset used to train gokuls/model_v1_complete_training_wt_init_48_tiny_freeze_new_ffn_2
Evaluation results
- Accuracy on gokuls/wiki_book_corpus_complete_processed_bert_datasetself-reported0.384