Total runs:
43
Run Growth:
33
Growth Rate:
82.50%
Sponsored by
APIMaster
besimray / test
Model's Last Updated: October 23 2024
Introduction of test
Model Details of test
See axolotl config
axolotl version:
0.4.1
adapter: lora
base_model: unsloth/Llama-3.2-1B-Instruct
bf16: auto
chat_template: llama3
dataset_prepared_path: null
datasets:
- path: mhenrichsen/alpaca_2k_test
type: alpaca
debug: null
deepspeed: null
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 4
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 4
gradient_checkpointing: true
group_by_length: false
hub_model_id: besimray/test
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.0002
load_in_4bit: false
load_in_8bit: true
local_rank: null
logging_steps: 1
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_steps: 10
micro_batch_size: 2
mlflow_experiment_name: mhenrichsen/alpaca_2k_test
model_type: LlamaForCausalLM
num_epochs: 1
optimizer: adamw_bnb_8bit
output_dir: miner_id_besimray
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
save_steps: 5
save_strategy: steps
sequence_len: 4096
strict: false
tf32: false
tokenizer_type: AutoTokenizer
train_on_inputs: false
val_set_size: 0.05
wandb_entity: besimray24-rayon
wandb_mode: online
wandb_project: Public_TuningSN
wandb_run: miner_id_24
wandb_runid: 383a850e-bb15-45a2-8f4b-fc96eb001a74
warmup_steps: 10
weight_decay: 0.0
xformers_attention: null
test
This model is a fine-tuned version of unsloth/Llama-3.2-1B-Instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2146
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: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.3218 | 0.0042 | 1 | 1.2625 |
| 1.3119 | 0.0126 | 3 | 1.2586 |
| 1.4952 | 0.0253 | 6 | 1.2099 |
| 1.284 | 0.0379 | 9 | 1.2146 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.4.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
Runs of besimray test on huggingface.co
26
Total runs
0
24-hour runs
6
3-day runs
12
7-day runs
11
30-day runs
More Information About test huggingface.co Model
Url of test
test huggingface.co Url
Provider of test huggingface.co
Other API from besimray
Updated:March 03 2025
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Run Growth:
33
Growth Rate:
82.50%
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32
Growth Rate:
82.05%
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32
Growth Rate:
82.05%
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33
Growth Rate:
84.62%
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33
Growth Rate:
84.62%
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29
Growth Rate:
82.86%
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84.85%
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100.00%
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76.47%
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43.75%
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7
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46.67%
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Growth Rate:
66.67%
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8
Growth Rate:
61.54%
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Growth Rate:
30.77%
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100.00%
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Growth Rate:
58.33%
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8
Growth Rate:
66.67%
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50.00%
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36.36%
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25.00%
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54.55%
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Growth Rate:
78.57%
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54.55%
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45.45%
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90.00%
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Growth Rate:
83.33%
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5
Growth Rate:
83.33%
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50.00%
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60.00%
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Growth Rate:
83.33%
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Growth Rate:
66.67%
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Growth Rate:
80.00%
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0.00%
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Growth Rate:
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Growth Rate:
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80.00%
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60.00%
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40.00%
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Growth Rate:
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40.00%
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Growth Rate:
80.00%
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60.00%
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-33.33%
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