# Docs for v1 can be found by changing the above selector ^
from together import Together
import os
client = Together(
api_key=os.environ.get("TOGETHER_API_KEY"),
)
response = client.fine_tuning.cancel(id="ft-id")
print(response){
"id": "ft-01234567890123456789",
"status": "completed",
"created_at": "2023-05-17T17:35:45.123Z",
"updated_at": "2023-05-17T18:46:23.456Z",
"user_id": "user_01234567890123456789",
"owner_address": "[email protected]",
"total_price": 1500,
"token_count": 850000,
"events": [],
"model": "meta-llama/Llama-2-7b-hf",
"model_output_name": "mynamespace/meta-llama/Llama-2-7b-hf-32162631",
"n_epochs": 3,
"training_file": "file-01234567890123456789",
"wandb_project_name": "my-finetune-project"
}Cancel Job
Cancel a currently running fine-tuning job. Returns a FinetuneResponseTruncated object.
# Docs for v1 can be found by changing the above selector ^
from together import Together
import os
client = Together(
api_key=os.environ.get("TOGETHER_API_KEY"),
)
response = client.fine_tuning.cancel(id="ft-id")
print(response){
"id": "ft-01234567890123456789",
"status": "completed",
"created_at": "2023-05-17T17:35:45.123Z",
"updated_at": "2023-05-17T18:46:23.456Z",
"user_id": "user_01234567890123456789",
"owner_address": "[email protected]",
"total_price": 1500,
"token_count": 850000,
"events": [],
"model": "meta-llama/Llama-2-7b-hf",
"model_output_name": "mynamespace/meta-llama/Llama-2-7b-hf-32162631",
"n_epochs": 3,
"training_file": "file-01234567890123456789",
"wandb_project_name": "my-finetune-project"
}Documentation Index
Fetch the complete documentation index at: https://docs.together.ai/llms.txt
Use this file to discover all available pages before exploring further.
Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Path Parameters
Fine-tune ID to cancel. A string that starts with ft-.
Response
Successfully cancelled the fine-tuning job.
A truncated version of the fine-tune response, used for POST /fine-tunes, GET /fine-tunes and POST /fine-tunes/{id}/cancel endpoints
Unique identifier for the fine-tune job
pending, queued, running, compressing, uploading, cancel_requested, cancelled, error, completed Creation timestamp of the fine-tune job
Last update timestamp of the fine-tune job
Start timestamp of the current stage of the fine-tune job
Identifier for the user who created the job
Owner address information
Total price for the fine-tuning job
Count of tokens processed
Events related to this fine-tune job
Show child attributes
Show child attributes
File-ID of the training file
File-ID of the validation file
Whether sequence packing is being used for training.
Maximum sequence length to use for training. If not specified, the maximum allowed for the model and training method will be used.
Base model used for fine-tuning
Suffix added to the fine-tuned model name
Number of training epochs
Number of evaluations during training
Number of checkpoints saved during training
Batch size used for training
Type of training used (full or LoRA)
- Option 1
- Option 2
Show child attributes
Show child attributes
Method of training used
- Option 1
- Option 2
Show child attributes
Show child attributes
Learning rate used for training
Learning rate scheduler configuration
Show child attributes
Show child attributes
Ratio of warmup steps
Maximum gradient norm for clipping
Weight decay value used
Random seed used for training. Integer when set; null if not stored (e.g. legacy jobs) or no explicit seed was recorded.
Weights & Biases project name
Weights & Biases run name
Checkpoint used to continue training
Hugging Face Hub repo to start training from
The revision of the Hugging Face Hub model to continue training from
Progress information for the fine-tuning job
Show child attributes
Show child attributes
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