finetuningjobcheckpoint.go (109 lines of code) (raw):
// File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
package openai
import (
"context"
"errors"
"fmt"
"net/http"
"net/url"
"github.com/openai/openai-go/internal/apijson"
"github.com/openai/openai-go/internal/apiquery"
"github.com/openai/openai-go/internal/requestconfig"
"github.com/openai/openai-go/option"
"github.com/openai/openai-go/packages/pagination"
"github.com/openai/openai-go/packages/param"
"github.com/openai/openai-go/packages/resp"
"github.com/openai/openai-go/shared/constant"
)
// FineTuningJobCheckpointService contains methods and other services that help
// with interacting with the openai API.
//
// Note, unlike clients, this service does not read variables from the environment
// automatically. You should not instantiate this service directly, and instead use
// the [NewFineTuningJobCheckpointService] method instead.
type FineTuningJobCheckpointService struct {
Options []option.RequestOption
}
// NewFineTuningJobCheckpointService generates a new service that applies the given
// options to each request. These options are applied after the parent client's
// options (if there is one), and before any request-specific options.
func NewFineTuningJobCheckpointService(opts ...option.RequestOption) (r FineTuningJobCheckpointService) {
r = FineTuningJobCheckpointService{}
r.Options = opts
return
}
// List checkpoints for a fine-tuning job.
func (r *FineTuningJobCheckpointService) List(ctx context.Context, fineTuningJobID string, query FineTuningJobCheckpointListParams, opts ...option.RequestOption) (res *pagination.CursorPage[FineTuningJobCheckpoint], err error) {
var raw *http.Response
opts = append(r.Options[:], opts...)
opts = append([]option.RequestOption{option.WithResponseInto(&raw)}, opts...)
if fineTuningJobID == "" {
err = errors.New("missing required fine_tuning_job_id parameter")
return
}
path := fmt.Sprintf("fine_tuning/jobs/%s/checkpoints", fineTuningJobID)
cfg, err := requestconfig.NewRequestConfig(ctx, http.MethodGet, path, query, &res, opts...)
if err != nil {
return nil, err
}
err = cfg.Execute()
if err != nil {
return nil, err
}
res.SetPageConfig(cfg, raw)
return res, nil
}
// List checkpoints for a fine-tuning job.
func (r *FineTuningJobCheckpointService) ListAutoPaging(ctx context.Context, fineTuningJobID string, query FineTuningJobCheckpointListParams, opts ...option.RequestOption) *pagination.CursorPageAutoPager[FineTuningJobCheckpoint] {
return pagination.NewCursorPageAutoPager(r.List(ctx, fineTuningJobID, query, opts...))
}
// The `fine_tuning.job.checkpoint` object represents a model checkpoint for a
// fine-tuning job that is ready to use.
type FineTuningJobCheckpoint struct {
// The checkpoint identifier, which can be referenced in the API endpoints.
ID string `json:"id,required"`
// The Unix timestamp (in seconds) for when the checkpoint was created.
CreatedAt int64 `json:"created_at,required"`
// The name of the fine-tuned checkpoint model that is created.
FineTunedModelCheckpoint string `json:"fine_tuned_model_checkpoint,required"`
// The name of the fine-tuning job that this checkpoint was created from.
FineTuningJobID string `json:"fine_tuning_job_id,required"`
// Metrics at the step number during the fine-tuning job.
Metrics FineTuningJobCheckpointMetrics `json:"metrics,required"`
// The object type, which is always "fine_tuning.job.checkpoint".
Object constant.FineTuningJobCheckpoint `json:"object,required"`
// The step number that the checkpoint was created at.
StepNumber int64 `json:"step_number,required"`
// Metadata for the response, check the presence of optional fields with the
// [resp.Field.IsPresent] method.
JSON struct {
ID resp.Field
CreatedAt resp.Field
FineTunedModelCheckpoint resp.Field
FineTuningJobID resp.Field
Metrics resp.Field
Object resp.Field
StepNumber resp.Field
ExtraFields map[string]resp.Field
raw string
} `json:"-"`
}
// Returns the unmodified JSON received from the API
func (r FineTuningJobCheckpoint) RawJSON() string { return r.JSON.raw }
func (r *FineTuningJobCheckpoint) UnmarshalJSON(data []byte) error {
return apijson.UnmarshalRoot(data, r)
}
// Metrics at the step number during the fine-tuning job.
type FineTuningJobCheckpointMetrics struct {
FullValidLoss float64 `json:"full_valid_loss"`
FullValidMeanTokenAccuracy float64 `json:"full_valid_mean_token_accuracy"`
Step float64 `json:"step"`
TrainLoss float64 `json:"train_loss"`
TrainMeanTokenAccuracy float64 `json:"train_mean_token_accuracy"`
ValidLoss float64 `json:"valid_loss"`
ValidMeanTokenAccuracy float64 `json:"valid_mean_token_accuracy"`
// Metadata for the response, check the presence of optional fields with the
// [resp.Field.IsPresent] method.
JSON struct {
FullValidLoss resp.Field
FullValidMeanTokenAccuracy resp.Field
Step resp.Field
TrainLoss resp.Field
TrainMeanTokenAccuracy resp.Field
ValidLoss resp.Field
ValidMeanTokenAccuracy resp.Field
ExtraFields map[string]resp.Field
raw string
} `json:"-"`
}
// Returns the unmodified JSON received from the API
func (r FineTuningJobCheckpointMetrics) RawJSON() string { return r.JSON.raw }
func (r *FineTuningJobCheckpointMetrics) UnmarshalJSON(data []byte) error {
return apijson.UnmarshalRoot(data, r)
}
type FineTuningJobCheckpointListParams struct {
// Identifier for the last checkpoint ID from the previous pagination request.
After param.Opt[string] `query:"after,omitzero" json:"-"`
// Number of checkpoints to retrieve.
Limit param.Opt[int64] `query:"limit,omitzero" json:"-"`
paramObj
}
// IsPresent returns true if the field's value is not omitted and not the JSON
// "null". To check if this field is omitted, use [param.IsOmitted].
func (f FineTuningJobCheckpointListParams) IsPresent() bool {
return !param.IsOmitted(f) && !f.IsNull()
}
// URLQuery serializes [FineTuningJobCheckpointListParams]'s query parameters as
// `url.Values`.
func (r FineTuningJobCheckpointListParams) URLQuery() (v url.Values, err error) {
return apiquery.MarshalWithSettings(r, apiquery.QuerySettings{
ArrayFormat: apiquery.ArrayQueryFormatBrackets,
NestedFormat: apiquery.NestedQueryFormatBrackets,
})
}