core.trainers.base
core.trainers.base
Module for customized trainers
Classes
Name | Description |
---|---|
AxolotlTrainer | Extend the base Trainer for axolotl helpers |
AxolotlTrainer
core.trainers.base.AxolotlTrainer(*_args,
=None,
bench_data_collator=None,
eval_data_collator=None,
dataset_tags**kwargs,
)
Extend the base Trainer for axolotl helpers
Methods
Name | Description |
---|---|
log | Log logs on the various objects watching training, including stored metrics. |
push_to_hub | Overwrite the push_to_hub method in order to force-add the tags when pushing the |
store_metrics | Store metrics with specified reduction type. |
log
=None) core.trainers.base.AxolotlTrainer.log(logs, start_time
Log logs
on the various objects watching training, including stored metrics.
Parameters
Name | Type | Description | Default |
---|---|---|---|
logs | dict[str, float] | The values to log. | required |
start_time | float | None | The start of training. | None |
push_to_hub
*args, **kwargs) core.trainers.base.AxolotlTrainer.push_to_hub(
Overwrite the push_to_hub
method in order to force-add the tags when pushing the
model on the Hub. Please refer to ~transformers.Trainer.push_to_hub
for more details.
store_metrics
core.trainers.base.AxolotlTrainer.store_metrics(
metrics,='train',
train_eval='mean',
reduction )
Store metrics with specified reduction type.
Parameters
Name | Type | Description | Default |
---|---|---|---|
metrics | dict[str, float] | dict[str, tuple[int | float, str]] | Dictionary of metric names to values, or metric names to (value, reduction_type) tuples. | required |
train_eval | Literal['train', 'eval'] | Whether this is for training or evaluation. | 'train' |