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ivangrapher / b557b671-fb65-4b44-93fe-a7dea80d049f
Model's Last Updated: January 15 2025
Introduction of b557b671-fb65-4b44-93fe-a7dea80d049f
Model Details of b557b671-fb65-4b44-93fe-a7dea80d049f
See axolotl config
axolotl version:
0.4.1
adapter: lora
base_model: unsloth/Qwen2.5-3B
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- 61bdcc6d2e2423ec_train_data.json
ds_type: json
format: custom
path: /workspace/input_data/61bdcc6d2e2423ec_train_data.json
type:
field_instruction: prompt
field_output: chosen
format: '{instruction}'
no_input_format: '{instruction}'
system_format: '{system}'
system_prompt: ''
debug: null
deepspeed: null
device: cuda
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 4
flash_attention: false
fp16: null
gradient_accumulation_steps: 6
gradient_checkpointing: false
group_by_length: false
hub_model_id: ivangrapher/b557b671-fb65-4b44-93fe-a7dea80d049f
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 3
lora_alpha: 32
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 16
lora_target_linear: true
lr_scheduler: cosine
max_memory:
0: 70GiB
max_steps: 30
micro_batch_size: 2
mlflow_experiment_name: /tmp/61bdcc6d2e2423ec_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 1
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: 10
sequence_len: 1024
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: true
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: 5f971fca-0fa6-4a2a-b4de-0abf27fa1ebf
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: 5f971fca-0fa6-4a2a-b4de-0abf27fa1ebf
warmup_steps: 10
weight_decay: 0.01
xformers_attention: true
b557b671-fb65-4b44-93fe-a7dea80d049f
This model is a fine-tuned version of unsloth/Qwen2.5-3B on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 12
- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0004 | 1 | nan |
| 0.0 | 0.0035 | 8 | nan |
| 0.0 | 0.0070 | 16 | nan |
| 0.0 | 0.0105 | 24 | nan |
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 ivangrapher b557b671-fb65-4b44-93fe-a7dea80d049f on huggingface.co
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More Information About b557b671-fb65-4b44-93fe-a7dea80d049f huggingface.co Model
Url of b557b671-fb65-4b44-93fe-a7dea80d049f
b557b671-fb65-4b44-93fe-a7dea80d049f huggingface.co Url
Provider of b557b671-fb65-4b44-93fe-a7dea80d049f huggingface.co
Other API from ivangrapher
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