CoolFace
Modelpublic

tuantmdev/4975646d-f022-4088-bfb5-56d2afbb515b

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
0likes21downloads
Model Card

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/> <details><summary>See axolotl config</summary>

axolotl version: 0.4.1

yaml
adapter: lora
auto_find_batch_size: true
base_model: unsloth/OpenHermes-2.5-Mistral-7B
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - 806f18135be8788c_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/806f18135be8788c_train_data.json
  type:
    field_instruction: prompt
    field_output: gold_standard_solution
    format: '{instruction}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: 3
eval_max_new_tokens: 128
eval_steps: 50
eval_table_size: null
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: false
group_by_length: true
hub_model_id: tuantmdev/4975646d-f022-4088-bfb5-56d2afbb515b
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 1e-4
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 40
lora_alpha: 64
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 32
lora_target_linear: true
lr_scheduler: cosine
max_grad_norm: 1.0
max_steps: 400
micro_batch_size: 2
mlflow_experiment_name: /tmp/806f18135be8788c_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
save_steps: 50
save_strategy: steps
sequence_len: 512
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: 6e0bde17-1cd9-49fa-b0dd-cd9e40508350
wandb_project: Gradients-On-Demand
wandb_run: unknown
wandb_runid: 6e0bde17-1cd9-49fa-b0dd-cd9e40508350
warmup_steps: 80
weight_decay: 0.0
xformers_attention: null

</details><br>

4975646d-f022-4088-bfb5-56d2afbb515b

This model is a fine-tuned version of unsloth/OpenHermes-2.5-Mistral-7B on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4834

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
  • —trainbatchsize: 2
  • —evalbatchsize: 2
  • —seed: 42
  • —gradientaccumulationsteps: 8
  • —totaltrainbatch_size: 16
  • —optimizer: Use OptimizerNames.ADAMWBNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_steps: 80
  • —training_steps: 400

Training results

Training LossEpochStepValidation Loss
No log0.000010.7318
4.90690.0011500.5662
4.33380.00221000.5585
4.26020.00331500.5280
4.08130.00432000.5190
3.95120.00542500.5027
3.88250.00653000.4898
4.05640.00763500.4842
3.78950.00874000.4834

Framework versions

  • —PEFT 0.13.2
  • —Transformers 4.46.0
  • —Pytorch 2.5.0+cu124
  • —Datasets 3.0.1
  • —Tokenizers 0.20.1