Total runs:
3.6K
Run Growth:
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Growth Rate:
18.10%
Sponsored by
APIMart
aaditya / gemma_out
Model's Last Updated: February 23 2024
Introduction of gemma_out
Model Details of gemma_out
See axolotl config
axolotl version:
0.4.0
base_model: google/gemma-7b
model_type: AutoModelForCausalLM
tokenizer_type: AutoTokenizer
load_in_8bit: false
load_in_4bit: true
strict: false
datasets:
- path: combined_file.json
ds_type: json
type: alpaca
val_set_size: 0.1
output_dir: ./out
adapter: qlora
lora_r: 32
lora_alpha: 16
lora_dropout: 0.05
lora_target_linear: true
lora_target_modules:
- q_proj
- v_proj
- v_proj
- o_proj
- gate_proj
- down_proj
- up_proj
sequence_len: 4096
sample_packing: false
pad_to_sequence_len: false
wandb_project: gemma_results
wandb_entity:
wandb_watch:
wandb_name:
wandb_log_model:
gradient_accumulation_steps: 3
micro_batch_size: 2
num_epochs: 1
optimizer: adamw_bnb_8bit
lr_scheduler: cosine
learning_rate: 5e-5
train_on_inputs: false
group_by_length: false
bf16: auto
fp16:
tf32: false
gradient_checkpointing: true
early_stopping_patience:
resume_from_checkpoint:
local_rank:
logging_steps: 1
xformers_attention:
flash_attention: true
warmup_ratio: 0.1
evals_per_epoch: 1
eval_table_size:
eval_max_new_tokens: 128
saves_per_epoch: 1
debug:
deepspeed:
weight_decay: 0.0
fsdp:
fsdp_config:
special_tokens:
out
This model is a fine-tuned version of google/gemma-7b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0418
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
- distributed_type: multi-GPU
- gradient_accumulation_steps: 3
- total_train_batch_size: 6
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 2092
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1309 | 1.0 | 20924 | 1.0418 |
Framework versions
- PEFT 0.8.2
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.17.1
- Tokenizers 0.15.0
Runs of aaditya gemma_out on huggingface.co
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3-day runs
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More Information About gemma_out huggingface.co Model
Url of gemma_out
gemma_out huggingface.co Url
Provider of gemma_out huggingface.co
Other API from aaditya
Updated:January 18 2025
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