metadata
tags:
- generated_from_trainer
model-index:
- name: MTL-bert-base-uncased
results: []
MTL-bert-base-uncased
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 6.4337
- eval_runtime: 15.4115
- eval_samples_per_second: 45.096
- eval_steps_per_second: 5.645
- epoch: 9.11
- step: 7152
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 15
Framework versions
- Transformers 4.11.3
- Pytorch 1.9.0+cu111
- Datasets 1.13.3
- Tokenizers 0.10.3