from openapi import SDK
with SDK(
bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:
res = sdk.llm.fine_tuning.list_checkpoints(fine_tuning_job_id="ftjob_aa87e2b1112a455b8deabed784372198", limit=10)
# Handle response
print(res){
"object": "<unknown>",
"data": [
{
"id": "<string>",
"object": "<unknown>",
"created_at": 0,
"fine_tuned_model_checkpoint": "<string>",
"fine_tuning_job_id": "<string>",
"step_number": 0,
"metrics": {
"step": 123,
"train_loss": 123,
"train_mean_token_accuracy": 123,
"valid_loss": 123,
"valid_mean_token_accuracy": 123,
"full_valid_loss": 123,
"full_valid_mean_token_accuracy": 123
}
}
],
"has_more": true,
"first_id": "<string>",
"last_id": "<string>"
}Liste os pontos de verificação para um trabalho de ajuste fino.
from openapi import SDK
with SDK(
bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:
res = sdk.llm.fine_tuning.list_checkpoints(fine_tuning_job_id="ftjob_aa87e2b1112a455b8deabed784372198", limit=10)
# Handle response
print(res){
"object": "<unknown>",
"data": [
{
"id": "<string>",
"object": "<unknown>",
"created_at": 0,
"fine_tuned_model_checkpoint": "<string>",
"fine_tuning_job_id": "<string>",
"step_number": 0,
"metrics": {
"step": 123,
"train_loss": 123,
"train_mean_token_accuracy": 123,
"valid_loss": 123,
"valid_mean_token_accuracy": 123,
"full_valid_loss": 123,
"full_valid_mean_token_accuracy": 123
}
}
],
"has_more": true,
"first_id": "<string>",
"last_id": "<string>"
}Gateway auth: send Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, you can also send X-On-Behalf-Of: <external-user-id>.
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