import { SDK } from "@meetkai/mka1";
const sdk = new SDK({
bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await sdk.llm.fineTuning.resume({
fineTuningJobId: "ftjob_aa87e2b1112a455b8deabed784372198",
});
console.log(result);
}
run();{
"id": "<string>",
"object": "<unknown>",
"created_at": 0,
"model": "<string>",
"training_file": "<string>",
"organization_id": "<string>",
"status": "validating_files",
"result_files": [
"<string>"
],
"seed": 0,
"hyperparameters": {
"batch_size": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>"
},
"validation_file": "<string>",
"fine_tuned_model": "<string>",
"method": {
"type": "supervised",
"supervised": {
"hyperparameters": {
"batch_size": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>"
}
},
"dpo": {
"hyperparameters": {
"batch_size": "<unknown>",
"beta": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>"
}
},
"reinforcement": {
"grader": {
"type": "<unknown>",
"name": "<string>",
"input": "<string>",
"reference": "<string>",
"operation": "eq"
},
"hyperparameters": {
"batch_size": "<unknown>",
"compute_multiplier": "<unknown>",
"eval_interval": "<unknown>",
"eval_samples": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>",
"reasoning_effort": "default"
}
}
},
"finished_at": 0,
"estimated_finish": 0,
"trained_tokens": 0,
"error": {
"code": "<string>",
"message": "<string>",
"param": "<string>"
},
"integrations": [
{
"type": "<unknown>",
"wandb": {
"project": "<string>",
"entity": "<string>",
"name": "<string>",
"tags": [
"<string>"
]
}
}
],
"metadata": {},
"suffix": "<string>"
}Resume a paused fine-tuning job.
import { SDK } from "@meetkai/mka1";
const sdk = new SDK({
bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});
async function run() {
const result = await sdk.llm.fineTuning.resume({
fineTuningJobId: "ftjob_aa87e2b1112a455b8deabed784372198",
});
console.log(result);
}
run();{
"id": "<string>",
"object": "<unknown>",
"created_at": 0,
"model": "<string>",
"training_file": "<string>",
"organization_id": "<string>",
"status": "validating_files",
"result_files": [
"<string>"
],
"seed": 0,
"hyperparameters": {
"batch_size": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>"
},
"validation_file": "<string>",
"fine_tuned_model": "<string>",
"method": {
"type": "supervised",
"supervised": {
"hyperparameters": {
"batch_size": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>"
}
},
"dpo": {
"hyperparameters": {
"batch_size": "<unknown>",
"beta": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>"
}
},
"reinforcement": {
"grader": {
"type": "<unknown>",
"name": "<string>",
"input": "<string>",
"reference": "<string>",
"operation": "eq"
},
"hyperparameters": {
"batch_size": "<unknown>",
"compute_multiplier": "<unknown>",
"eval_interval": "<unknown>",
"eval_samples": "<unknown>",
"learning_rate_multiplier": "<unknown>",
"n_epochs": "<unknown>",
"reasoning_effort": "default"
}
}
},
"finished_at": 0,
"estimated_finish": 0,
"trained_tokens": 0,
"error": {
"code": "<string>",
"message": "<string>",
"param": "<string>"
},
"integrations": [
{
"type": "<unknown>",
"wandb": {
"project": "<string>",
"entity": "<string>",
"name": "<string>",
"tags": [
"<string>"
]
}
}
],
"metadata": {},
"suffix": "<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>.
OK
-9007199254740991 <= x <= 9007199254740991validating_files, queued, running, succeeded, failed, cancelled -9007199254740991 <= x <= 9007199254740991Show child attributes
Show child attributes
-9007199254740991 <= x <= 9007199254740991-9007199254740991 <= x <= 9007199254740991-9007199254740991 <= x <= 9007199254740991Show child attributes
Show child attributes
Show child attributes
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