nblinh63 / eafbeba7-c970-43e5-b492-4b8f73b36b60

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: 0
30-day runs: 5
Model's Last Updated: January 15 2025

Introduction of eafbeba7-c970-43e5-b492-4b8f73b36b60

Model Details of eafbeba7-c970-43e5-b492-4b8f73b36b60

Built with Axolotl

See axolotl config

axolotl version: 0.4.1

adapter: lora
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - c15a78ed2931bc53_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/c15a78ed2931bc53_train_data.json
  type:
    field_input: language
    field_instruction: title
    field_output: text
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 1
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
gradient_clipping: 1.0
group_by_length: false
hub_model_id: nblinh63/eafbeba7-c970-43e5-b492-4b8f73b36b60
hub_repo: null
hub_strategy: end
hub_token: null
learning_rate: 5.0e-05
load_in_4bit: true
load_in_8bit: true
local_rank: null
logging_steps: 1
lora_alpha: 16
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 8
lora_target_linear: true
lr_scheduler: cosine
max_steps: 200
micro_batch_size: 2
mlflow_experiment_name: /tmp/c15a78ed2931bc53_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 1
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
saves_per_epoch: 1
sequence_len: 1024
special_tokens:
  pad_token: <|eot_id|>
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: 4674c655-c369-4876-9af5-6c6cadd58d51
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 4674c655-c369-4876-9af5-6c6cadd58d51
warmup_steps: 5
weight_decay: 0.01
xformers_attention: true

eafbeba7-c970-43e5-b492-4b8f73b36b60

This model is a fine-tuned version of Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7811
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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • 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: 5
  • training_steps: 200
Training results
Training Loss Epoch Step Validation Loss
1.679 0.0046 200 1.7811
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 nblinh63 eafbeba7-c970-43e5-b492-4b8f73b36b60 on huggingface.co

5
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
5
30-day runs

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Total runs: 5
Run Growth: -1
Growth Rate: -20.00%
Updated:October 11 2025