mistral-rouille 1.1.4

Mistral Rouille is a Rust crate customized from Mistral's official OpenAPI specification. This crate provides a convenient and type-safe interface for interacting with Mistral's API, using the Reqwest crate for HTTP requests. Designed to be easily integrated into your Rust projects, Mistral Rouille offers robust functionality for all Mistral API endpoints, ensuring seamless communication with the configured endpoint.
Documentation
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# JobMetadata

## Properties

Name | Type | Description | Notes
------------ | ------------- | ------------- | -------------
**training_steps** | Option<**i32**> | The number of training steps to perform. A training step refers to a single update of the model weights during the fine-tuning process. This update is typically calculated using a batch of samples from the training dataset.  | [optional]
**train_tokens_per_step** | Option<**i32**> | The number of tokens consumed by one training step. | [optional]
**data_tokens** | Option<**i32**> | The total number of tokens in the training dataset. | [optional]
**train_tokens** | Option<**i32**> | The total number of tokens used during the fine-tuning process. | [optional]
**epochs** | Option<**f32**> | The number of complete passes through the entire training dataset. | [optional]
**expected_duration_seconds** | Option<**i32**> | The approximated time (in seconds) for the fine-tuning process to complete. | [optional]

[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)