Fine tune a model

Create Fine Tune Model

curl --request POST \
  --url https://api.timesdb.in/fine_tuned_models \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "base_model": "<string>",
  "input_config": {
    "dataset_ids": [
      "<string>"
    ],
    "dataset_tags": [
      "<string>"
    ],
    "series_ids": [
      "<string>"
    ],
    "series": [
      {
        "timestamp": "2023-11-07T05:31:56Z",
        "value": 123,
        "metadata": {}
      }
    ]
  },
  "config": {
    "context_length": 123,
    "prediction_length": 123,
    "use_rope_scaling": true,
    "num_samples": 123,
    "max_epochs": 123
  }
}
'

import requests

url = "https://api.timesdb.in/fine_tuned_models"

payload = {
    "base_model": "<string>",
    "input_config": {
        "dataset_ids": ["<string>"],
        "dataset_tags": ["<string>"],
        "series_ids": ["<string>"],
        "series": [
            {
                "timestamp": "2023-11-07T05:31:56Z",
                "value": 123,
                "metadata": {}
            }
        ]
    },
    "config": {
        "context_length": 123,
        "prediction_length": 123,
        "use_rope_scaling": True,
        "num_samples": 123,
        "max_epochs": 123
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    base_model: '<string>',
    input_config: {
      dataset_ids: ['<string>'],
      dataset_tags: ['<string>'],
      series_ids: ['<string>'],
      series: [{timestamp: '2023-11-07T05:31:56Z', value: 123, metadata: {}}]
    },
    config: {
      context_length: 123,
      prediction_length: 123,
      use_rope_scaling: true,
      num_samples: 123,
      max_epochs: 123
    }
  })
};

fetch('https://api.timesdb.in/fine_tuned_models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.timesdb.in/fine_tuned_models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'base_model' => '<string>',
    'input_config' => [
        'dataset_ids' => [
                '<string>'
        ],
        'dataset_tags' => [
                '<string>'
        ],
        'series_ids' => [
                '<string>'
        ],
        'series' => [
                [
                                'timestamp' => '2023-11-07T05:31:56Z',
                                'value' => 123,
                                'metadata' => [
                                                                
                                ]
                ]
        ]
    ],
    'config' => [
        'context_length' => 123,
        'prediction_length' => 123,
        'use_rope_scaling' => true,
        'num_samples' => 123,
        'max_epochs' => 123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.timesdb.in/fine_tuned_models"

	payload := strings.NewReader("{\n  \"base_model\": \"<string>\",\n  \"input_config\": {\n    \"dataset_ids\": [\n      \"<string>\"\n    ],\n    \"dataset_tags\": [\n      \"<string>\"\n    ],\n    \"series_ids\": [\n      \"<string>\"\n    ],\n    \"series\": [\n      {\n        \"timestamp\": \"2023-11-07T05:31:56Z\",\n        \"value\": 123,\n        \"metadata\": {}\n      }\n    ]\n  },\n  \"config\": {\n    \"context_length\": 123,\n    \"prediction_length\": 123,\n    \"use_rope_scaling\": true,\n    \"num_samples\": 123,\n    \"max_epochs\": 123\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.timesdb.in/fine_tuned_models")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"base_model\": \"<string>\",\n  \"input_config\": {\n    \"dataset_ids\": [\n      \"<string>\"\n    ],\n    \"dataset_tags\": [\n      \"<string>\"\n    ],\n    \"series_ids\": [\n      \"<string>\"\n    ],\n    \"series\": [\n      {\n        \"timestamp\": \"2023-11-07T05:31:56Z\",\n        \"value\": 123,\n        \"metadata\": {}\n      }\n    ]\n  },\n  \"config\": {\n    \"context_length\": 123,\n    \"prediction_length\": 123,\n    \"use_rope_scaling\": true,\n    \"num_samples\": 123,\n    \"max_epochs\": 123\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.timesdb.in/fine_tuned_models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"base_model\": \"<string>\",\n  \"input_config\": {\n    \"dataset_ids\": [\n      \"<string>\"\n    ],\n    \"dataset_tags\": [\n      \"<string>\"\n    ],\n    \"series_ids\": [\n      \"<string>\"\n    ],\n    \"series\": [\n      {\n        \"timestamp\": \"2023-11-07T05:31:56Z\",\n        \"value\": 123,\n        \"metadata\": {}\n      }\n    ]\n  },\n  \"config\": {\n    \"context_length\": 123,\n    \"prediction_length\": 123,\n    \"use_rope_scaling\": true,\n    \"num_samples\": 123,\n    \"max_epochs\": 123\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "id": "<string>",
  "status": "QUEUED",
  "config": {
    "context_length": 123,
    "prediction_length": 123,
    "use_rope_scaling": true,
    "num_samples": 123,
    "max_epochs": 123
  },
  "input_config": {
    "dataset_ids": [
      "<string>"
    ],
    "dataset_tags": [
      "<string>"
    ],
    "series_ids": [
      "<string>"
    ],
    "series": [
      {
        "timestamp": "2023-11-07T05:31:56Z",
        "value": 123,
        "metadata": {}
      }
    ]
  },
  "base_model": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

POST

fine_tuned_models

Create Fine Tune Model

curl --request POST \
  --url https://api.timesdb.in/fine_tuned_models \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "base_model": "<string>",
  "input_config": {
    "dataset_ids": [
      "<string>"
    ],
    "dataset_tags": [
      "<string>"
    ],
    "series_ids": [
      "<string>"
    ],
    "series": [
      {
        "timestamp": "2023-11-07T05:31:56Z",
        "value": 123,
        "metadata": {}
      }
    ]
  },
  "config": {
    "context_length": 123,
    "prediction_length": 123,
    "use_rope_scaling": true,
    "num_samples": 123,
    "max_epochs": 123
  }
}
'

import requests

url = "https://api.timesdb.in/fine_tuned_models"

payload = {
    "base_model": "<string>",
    "input_config": {
        "dataset_ids": ["<string>"],
        "dataset_tags": ["<string>"],
        "series_ids": ["<string>"],
        "series": [
            {
                "timestamp": "2023-11-07T05:31:56Z",
                "value": 123,
                "metadata": {}
            }
        ]
    },
    "config": {
        "context_length": 123,
        "prediction_length": 123,
        "use_rope_scaling": True,
        "num_samples": 123,
        "max_epochs": 123
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    base_model: '<string>',
    input_config: {
      dataset_ids: ['<string>'],
      dataset_tags: ['<string>'],
      series_ids: ['<string>'],
      series: [{timestamp: '2023-11-07T05:31:56Z', value: 123, metadata: {}}]
    },
    config: {
      context_length: 123,
      prediction_length: 123,
      use_rope_scaling: true,
      num_samples: 123,
      max_epochs: 123
    }
  })
};

fetch('https://api.timesdb.in/fine_tuned_models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.timesdb.in/fine_tuned_models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'base_model' => '<string>',
    'input_config' => [
        'dataset_ids' => [
                '<string>'
        ],
        'dataset_tags' => [
                '<string>'
        ],
        'series_ids' => [
                '<string>'
        ],
        'series' => [
                [
                                'timestamp' => '2023-11-07T05:31:56Z',
                                'value' => 123,
                                'metadata' => [
                                                                
                                ]
                ]
        ]
    ],
    'config' => [
        'context_length' => 123,
        'prediction_length' => 123,
        'use_rope_scaling' => true,
        'num_samples' => 123,
        'max_epochs' => 123
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://api.timesdb.in/fine_tuned_models"

	payload := strings.NewReader("{\n  \"base_model\": \"<string>\",\n  \"input_config\": {\n    \"dataset_ids\": [\n      \"<string>\"\n    ],\n    \"dataset_tags\": [\n      \"<string>\"\n    ],\n    \"series_ids\": [\n      \"<string>\"\n    ],\n    \"series\": [\n      {\n        \"timestamp\": \"2023-11-07T05:31:56Z\",\n        \"value\": 123,\n        \"metadata\": {}\n      }\n    ]\n  },\n  \"config\": {\n    \"context_length\": 123,\n    \"prediction_length\": 123,\n    \"use_rope_scaling\": true,\n    \"num_samples\": 123,\n    \"max_epochs\": 123\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.timesdb.in/fine_tuned_models")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"base_model\": \"<string>\",\n  \"input_config\": {\n    \"dataset_ids\": [\n      \"<string>\"\n    ],\n    \"dataset_tags\": [\n      \"<string>\"\n    ],\n    \"series_ids\": [\n      \"<string>\"\n    ],\n    \"series\": [\n      {\n        \"timestamp\": \"2023-11-07T05:31:56Z\",\n        \"value\": 123,\n        \"metadata\": {}\n      }\n    ]\n  },\n  \"config\": {\n    \"context_length\": 123,\n    \"prediction_length\": 123,\n    \"use_rope_scaling\": true,\n    \"num_samples\": 123,\n    \"max_epochs\": 123\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.timesdb.in/fine_tuned_models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"base_model\": \"<string>\",\n  \"input_config\": {\n    \"dataset_ids\": [\n      \"<string>\"\n    ],\n    \"dataset_tags\": [\n      \"<string>\"\n    ],\n    \"series_ids\": [\n      \"<string>\"\n    ],\n    \"series\": [\n      {\n        \"timestamp\": \"2023-11-07T05:31:56Z\",\n        \"value\": 123,\n        \"metadata\": {}\n      }\n    ]\n  },\n  \"config\": {\n    \"context_length\": 123,\n    \"prediction_length\": 123,\n    \"use_rope_scaling\": true,\n    \"num_samples\": 123,\n    \"max_epochs\": 123\n  }\n}"

response = http.request(request)
puts response.read_body

{
  "id": "<string>",
  "status": "QUEUED",
  "config": {
    "context_length": 123,
    "prediction_length": 123,
    "use_rope_scaling": true,
    "num_samples": 123,
    "max_epochs": 123
  },
  "input_config": {
    "dataset_ids": [
      "<string>"
    ],
    "dataset_tags": [
      "<string>"
    ],
    "series_ids": [
      "<string>"
    ],
    "series": [
      {
        "timestamp": "2023-11-07T05:31:56Z",
        "value": 123,
        "metadata": {}
      }
    ]
  },
  "base_model": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Authorizations

Authorization

string

header

required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json

base_model

string

required

input_config

FineTuneInputConfig · object

required

Show child attributes

config

LagLlamaFineTuningConfig · object

required

Show child attributes

Response

Successful Response

string

required

status

enum<string>

required

Available options:

QUEUED,

IN_PROGRESS,

COMPLETED,

FAILED

config

LagLlamaFineTuningConfig · object

required

Show child attributes

input_config

FineTuneInputConfig · object

required

Show child attributes

base_model

string

required

created_at

string<date-time>

required

updated_at

string<date-time>

required

APIs

Webhooks

Fine tune a model

Authorizations

Body

Response