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Alphatao / eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c
Model's Last Updated: March 15 2025
Introduction of eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c
Model Details of eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c
See axolotl config
axolotl version:
0.4.1
adapter: lora
base_model: openlm-research/open_llama_3b
bf16: true
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- 7e19f93aea14929b_train_data.json
ds_type: json
format: custom
path: /workspace/input_data/7e19f93aea14929b_train_data.json
type:
field_instruction: input persona
field_output: synthesized text
format: '{instruction}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
debug: null
device_map:
? ''
: 0,1,2,3,4,5,6,7
early_stopping_patience: 2
eval_max_new_tokens: 128
eval_steps: 100
eval_table_size: null
flash_attention: true
gradient_accumulation_steps: 8
gradient_checkpointing: true
group_by_length: false
hub_model_id: Alphatao/eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c
hub_repo: null
hub_strategy: null
hub_token: null
learning_rate: 0.0002
load_best_model_at_end: true
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 128
lora_dropout: 0.1
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 64
lora_target_linear: true
lora_target_modules:
- q_proj
- k_proj
- v_proj
- o_proj
lr_scheduler: cosine
max_grad_norm: 1.0
max_steps: 1734
micro_batch_size: 4
mlflow_experiment_name: /tmp/7e19f93aea14929b_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 2
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 100
sequence_len: 2048
special_tokens:
pad_token: </s>
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.04
wandb_entity: null
wandb_mode: online
wandb_name: 16fab843-6012-4bc5-8500-e22db5acad8c
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 16fab843-6012-4bc5-8500-e22db5acad8c
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null
eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c
This model is a fine-tuned version of openlm-research/open_llama_3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8444
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 1734
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4332 | 0.0007 | 1 | 1.4838 |
| 1.0237 | 0.0678 | 100 | 0.9930 |
| 0.9257 | 0.1355 | 200 | 0.9565 |
| 0.9386 | 0.2033 | 300 | 0.9361 |
| 0.9052 | 0.2710 | 400 | 0.9206 |
| 0.8509 | 0.3388 | 500 | 0.9081 |
| 0.8631 | 0.4065 | 600 | 0.8954 |
| 0.8586 | 0.4743 | 700 | 0.8861 |
| 0.8717 | 0.5420 | 800 | 0.8763 |
| 0.8122 | 0.6098 | 900 | 0.8680 |
| 0.906 | 0.6775 | 1000 | 0.8607 |
| 0.8449 | 0.7453 | 1100 | 0.8537 |
| 0.8222 | 0.8130 | 1200 | 0.8480 |
| 0.8817 | 0.8808 | 1300 | 0.8437 |
| 0.8114 | 0.9485 | 1400 | 0.8405 |
| 0.7496 | 1.0163 | 1500 | 0.8429 |
| 0.6948 | 1.0840 | 1600 | 0.8444 |
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 Alphatao eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c on huggingface.co
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More Information About eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c huggingface.co Model
Url of eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c
eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c huggingface.co Url
Provider of eddad3ba-9804-4dbb-bf90-9f5b5a6fed4c huggingface.co
Other API from Alphatao
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