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ivangrapher / 490c813f-ebfb-4237-87f8-d67816c54788
Model's Last Updated: January 16 2025
Introduction of 490c813f-ebfb-4237-87f8-d67816c54788
Model Details of 490c813f-ebfb-4237-87f8-d67816c54788
See axolotl config
axolotl version:
0.4.1
adapter: lora
base_model: unsloth/gemma-2-2b
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
- dd4def1d682effdb_train_data.json
ds_type: json
format: custom
path: /workspace/input_data/dd4def1d682effdb_train_data.json
type:
field_input: answer
field_instruction: problem
field_output: solution
format: '{instruction} {input}'
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/490c813f-ebfb-4237-87f8-d67816c54788
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/dd4def1d682effdb_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: 5
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: bd1016dd-c4f8-4832-ac12-9298a3f1d538
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: bd1016dd-c4f8-4832-ac12-9298a3f1d538
warmup_steps: 5
weight_decay: 0.01
xformers_attention: true
490c813f-ebfb-4237-87f8-d67816c54788
This model is a fine-tuned version of unsloth/gemma-2-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1014
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: 5
- training_steps: 30
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0030 | 1 | 1.2777 |
| 1.1951 | 0.0239 | 8 | 1.1715 |
| 1.0777 | 0.0478 | 16 | 1.1157 |
| 1.104 | 0.0717 | 24 | 1.1014 |
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 490c813f-ebfb-4237-87f8-d67816c54788 on huggingface.co
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More Information About 490c813f-ebfb-4237-87f8-d67816c54788 huggingface.co Model
Url of 490c813f-ebfb-4237-87f8-d67816c54788
490c813f-ebfb-4237-87f8-d67816c54788 huggingface.co Url
Provider of 490c813f-ebfb-4237-87f8-d67816c54788 huggingface.co
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