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Sponsored by
APIMart
dada22231 / 0ffdac01-fb3b-4cff-a490-aee966862d58
Model's Last Updated: December 14 2024
Introduction of 0ffdac01-fb3b-4cff-a490-aee966862d58
Model Details of 0ffdac01-fb3b-4cff-a490-aee966862d58
See axolotl config
axolotl version:
0.4.1
adapter: lora
base_model: NousResearch/Yarn-Mistral-7b-128k
bf16: auto
chat_template: llama3
cosine_min_lr_ratio: 0.1
data_processes: 4
dataset_prepared_path: null
datasets:
- data_files:
- 1a9251c7fee34405_train_data.json
ds_type: json
format: custom
num_proc: 4
path: /workspace/input_data/1a9251c7fee34405_train_data.json
streaming: true
type:
field_instruction: question
field_output: answerKey
format: '{instruction}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
debug: null
deepspeed: null
device_map: balanced
do_eval: true
early_stopping_patience: 1
eval_batch_size: 1
eval_sample_packing: false
eval_steps: 25
evaluation_strategy: steps
flash_attention: false
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 16
gradient_checkpointing: true
group_by_length: true
hub_model_id: dada22231/0ffdac01-fb3b-4cff-a490-aee966862d58
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0001
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lora_target_modules:
- q_proj
- v_proj
lr_scheduler: cosine
max_grad_norm: 1.0
max_memory:
0: 75GB
1: 75GB
2: 75GB
3: 75GB
max_steps: 50
micro_batch_size: 2
mixed_precision: bf16
mlflow_experiment_name: /tmp/1a9251c7fee34405_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 3
optim_args:
adam_beta1: 0.9
adam_beta2: 0.95
adam_epsilon: 1e-5
optimizer: adamw_torch
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 25
save_strategy: steps
sequence_len: 2048
special_tokens:
pad_token: </s>
strict: false
tf32: false
tokenizer_type: AutoTokenizer
torch_compile: false
train_on_inputs: false
trust_remote_code: true
val_set_size: 50
wandb_entity: null
wandb_mode: online
wandb_name: 0ffdac01-fb3b-4cff-a490-aee966862d58
wandb_project: Public_TuningSN
wandb_runid: 0ffdac01-fb3b-4cff-a490-aee966862d58
warmup_ratio: 0.04
weight_decay: 0.01
xformers_attention: null
0ffdac01-fb3b-4cff-a490-aee966862d58
This model is a fine-tuned version of NousResearch/Yarn-Mistral-7b-128k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6933
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=adam_beta1=0.9,adam_beta2=0.95,adam_epsilon=1e-5
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 134.0684 | 0.0069 | 1 | 8.1369 |
| 11.0435 | 0.1729 | 25 | 0.6902 |
| 10.9746 | 0.3459 | 50 | 0.6933 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
Runs of dada22231 0ffdac01-fb3b-4cff-a490-aee966862d58 on huggingface.co
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30-day runs
More Information About 0ffdac01-fb3b-4cff-a490-aee966862d58 huggingface.co Model
Url of 0ffdac01-fb3b-4cff-a490-aee966862d58
0ffdac01-fb3b-4cff-a490-aee966862d58 huggingface.co Url
Provider of 0ffdac01-fb3b-4cff-a490-aee966862d58 huggingface.co
Other API from dada22231
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