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Sponsored by
Vmake Labs Video Enhancer
dada22231 / 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
Model's Last Updated: December 06 2024
Introduction of 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
Model Details of 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
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: 16
dataset_prepared_path: null
datasets:
- data_files:
- 0b441e1e7d530012_train_data.json
ds_type: json
format: custom
path: /workspace/input_data/0b441e1e7d530012_train_data.json
type:
field_input: title
field_instruction: content
field_output: java
format: '{instruction} {input}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
debug: null
deepspeed: null
device_map: auto
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: 32
gradient_checkpointing: true
group_by_length: true
hub_model_id: dada22231/4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
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: 70GiB
1: 70GiB
2: 70GiB
3: 70GiB
max_steps: 75
micro_batch_size: 1
mlflow_experiment_name: /tmp/0b441e1e7d530012_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: 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
wandb_project: Public_TuningSN
wandb_runid: 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
warmup_ratio: 0.04
weight_decay: 0.01
xformers_attention: null
4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
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: 0.5544
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- 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: 42
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 24.3667 | 0.0721 | 1 | 0.8149 |
| 16.8295 | 1.8333 | 25 | 0.5544 |
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 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d on huggingface.co
17
Total runs
1
24-hour runs
1
3-day runs
0
7-day runs
12
30-day runs
More Information About 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d huggingface.co Model
Url of 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d
4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d huggingface.co Url
Provider of 4ce6d22d-2cc2-4626-9b60-d1f5d8f3141d huggingface.co
Other API from dada22231
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