FineTuningSessions
Get a fine-tuning session
Get information about a specific fine-tuning session.
Header parameters
Foundry-Features
enum
required
A feature flag opt-in required when using preview operations or modifying persisted preview resources.
Path parameters
sessionId
string
required
Identifier of the fine-tuning session to retrieve.
Query parameters
api-version
string
required
The API version to use for this operation.
Responses
The request has succeeded.
Body
session_id
string
required
Unique identifier for this fine-tuning session.
type
string | enum
required
Fine-tuning session type.
enum
status
string | enum
required
Lifecycle status of a fine-tuning session. Uses the canonical fine-tuning job vocabulary for steady states and includes the initial created state returned during session creation.
enum
model_data
SessionFineTuning.FineTuningSessionModelData
required
Nested model sub-object within a session response.
base_model
string
required
Base model used by the session.
lora_config
SessionFineTuning.LoRAConfig | null
LoRA adapter configuration, when the model uses an adapter.
rank
integer
required
Number of LoRA rank dimensions required by the service.
alpha
number
LoRA scaling factor (effective scale = alpha / rank). If omitted, the service defaults to 32.0.
seed
integer
Seed for LoRA weight initialisation. If omitted, the service picks a random seed and echoes it back.
freeze_vision_tower
boolean
Whether to freeze the vision tower during training. If omitted, the service defaults to true.
freeze_multi_modal_projector
boolean
Whether to freeze the multimodal projector during training. If omitted, the service defaults to true.
model_name
string | null
Name of the model associated with the session, when available.
Request
GET /fine_tuning/sessions/{sessionId} HTTP/1.1Response
Status: 200
Content-Type: application/jsonStatus: 4XX
Content-Type: application/jsonStatus: 5XX
Content-Type: application/json