metadata
tags:
- generated_from_trainer
model-index:
- name: chemical-bert-uncased-finetuned-cust
results: []
chemical-bert-uncased-finetuned-cust
This model is a fine-tuned version of recobo/chemical-bert-uncased on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.0173
- eval_runtime: 1.2451
- eval_samples_per_second: 321.256
- eval_steps_per_second: 5.622
- epoch: 51.0
- step: 3213
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 200
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2