curl --request POST \
--url https://api.fireworks.ai/v1/accounts/{account_id}/reinforcementFineTuningJobs \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"displayName": "<string>",
"dataset": "<string>",
"evaluationDataset": "<string>",
"evalAutoCarveout": true,
"trainingConfig": {
"outputModel": "<string>",
"baseModel": "<string>",
"warmStartFrom": "<string>",
"jinjaTemplate": "<string>",
"learningRate": 123,
"maxContextLength": 123,
"loraRank": 123,
"acceleratorCount": 123,
"region": "REGION_UNSPECIFIED",
"epochs": 123,
"batchSize": 123
},
"evaluator": "<string>",
"wandbConfig": {
"enabled": true,
"apiKey": "<string>",
"project": "<string>",
"entity": "<string>",
"runId": "<string>"
},
"outputStats": "<string>",
"inferenceParameters": {
"maxTokens": 123,
"temperature": 123,
"topP": 123,
"n": 123,
"extraBody": "<string>",
"topK": 123
},
"outputMetrics": "<string>"
}'
{
"name": "<string>",
"displayName": "<string>",
"createTime": "2023-11-07T05:31:56Z",
"completedTime": "2023-11-07T05:31:56Z",
"dataset": "<string>",
"evaluationDataset": "<string>",
"evalAutoCarveout": true,
"state": "JOB_STATE_UNSPECIFIED",
"status": {
"code": "OK",
"message": "<string>"
},
"createdBy": "<string>",
"trainingConfig": {
"outputModel": "<string>",
"baseModel": "<string>",
"warmStartFrom": "<string>",
"jinjaTemplate": "<string>",
"learningRate": 123,
"maxContextLength": 123,
"loraRank": 123,
"acceleratorCount": 123,
"region": "REGION_UNSPECIFIED",
"epochs": 123,
"batchSize": 123
},
"evaluator": "<string>",
"wandbConfig": {
"enabled": true,
"apiKey": "<string>",
"project": "<string>",
"entity": "<string>",
"runId": "<string>",
"url": "<string>"
},
"outputStats": "<string>",
"inferenceParameters": {
"maxTokens": 123,
"temperature": 123,
"topP": 123,
"n": 123,
"extraBody": "<string>",
"topK": 123
},
"outputMetrics": "<string>"
}
curl --request POST \
--url https://api.fireworks.ai/v1/accounts/{account_id}/reinforcementFineTuningJobs \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '{
"displayName": "<string>",
"dataset": "<string>",
"evaluationDataset": "<string>",
"evalAutoCarveout": true,
"trainingConfig": {
"outputModel": "<string>",
"baseModel": "<string>",
"warmStartFrom": "<string>",
"jinjaTemplate": "<string>",
"learningRate": 123,
"maxContextLength": 123,
"loraRank": 123,
"acceleratorCount": 123,
"region": "REGION_UNSPECIFIED",
"epochs": 123,
"batchSize": 123
},
"evaluator": "<string>",
"wandbConfig": {
"enabled": true,
"apiKey": "<string>",
"project": "<string>",
"entity": "<string>",
"runId": "<string>"
},
"outputStats": "<string>",
"inferenceParameters": {
"maxTokens": 123,
"temperature": 123,
"topP": 123,
"n": 123,
"extraBody": "<string>",
"topK": 123
},
"outputMetrics": "<string>"
}'
{
"name": "<string>",
"displayName": "<string>",
"createTime": "2023-11-07T05:31:56Z",
"completedTime": "2023-11-07T05:31:56Z",
"dataset": "<string>",
"evaluationDataset": "<string>",
"evalAutoCarveout": true,
"state": "JOB_STATE_UNSPECIFIED",
"status": {
"code": "OK",
"message": "<string>"
},
"createdBy": "<string>",
"trainingConfig": {
"outputModel": "<string>",
"baseModel": "<string>",
"warmStartFrom": "<string>",
"jinjaTemplate": "<string>",
"learningRate": 123,
"maxContextLength": 123,
"loraRank": 123,
"acceleratorCount": 123,
"region": "REGION_UNSPECIFIED",
"epochs": 123,
"batchSize": 123
},
"evaluator": "<string>",
"wandbConfig": {
"enabled": true,
"apiKey": "<string>",
"project": "<string>",
"entity": "<string>",
"runId": "<string>",
"url": "<string>"
},
"outputStats": "<string>",
"inferenceParameters": {
"maxTokens": 123,
"temperature": 123,
"topP": 123,
"n": 123,
"extraBody": "<string>",
"topK": 123
},
"outputMetrics": "<string>"
}
Bearer authentication header of the form Bearer <token>
, where <token>
is your auth token.
The Account Id
ID of the reinforcement fine-tuning job, a random UUID will be generated if not specified.
A successful response.
The response is of type object
.
Was this page helpful?